In this blog, we will give you a brief introduction of what are multimodal models and what can multimodal generative models accomplish. OpenAI just released their latest text-to-video multimodal generative model "SORA" in Feb, 2024 which becomes extremely popular. SORA can generate short videos of up to 1 minute's length. Before SORA, there are also many generative multi-modal models released by various companies, such as BLIP, BLIP2, FLAMINGO, FlaVA, etc. We will summarize a complete list of these time tested multi-modal generative models, introduce the model architures (text and image encoder), the training process, tasks, latex equation of loss functions, the Vision Language capabilities (such as text-to-image, text-to-video, text-to-audio, visual question answering), etc. Tag: Multimodal, AIGC, Large Language Model

In this blog, we will give you a brief introduction to the Huggingface Text to Video Pipeline and the wrapper API. Since installing these pipeline requires many dependencies of python package, such as transformers, torch, diffusers, we provide an API wrapper of common text to video interfaces for non AI or machine learning related experts and put it into the pypi package text2video (https://pypi.org/project/text2video/). Right now this package is still in development stage, and we will keep updating this blog. This package API Wrapper is open to contribution also.

Dialogue Agent Multimodal Visualization Tools for AI Systems: A Review. With the rapid development of generative AI technology, developing Chatbot Assistant, Dialogue and Agents have become frequent tasks for designer, developer, product manager, machine learning and AI practitioner. There are a lot data (usually in json format) exchange during different phases of prototyping, designing and developing modern AI systems, such as Chatbot Assistant, Agent, Dialogue, AI Image Generator, text to image, AI video generator, etc. There are potential needs to help visualize the data (json format or others) for AI system. In this blog, we will introduce you an online dialogue data visualization tool DeepNLP Dialogue Visualization to help visualize the agents and dialogue history with simply a json string data. And we will use the OpenAI Dialogue GPT model for a multi-turn dialogue developing for example.

In this blog, we will summarize the latex code of most fundamental equations of transfer learning(TL). Different from multi-task learning, transfer learning models aims to achieve the best performance on target domain (minimized target domain test errors), not the performance of source domain. Typical transfer learning methods including domain adaptation(DA), feature sub-space alignment, etc. In this post, we will dicuss more details of TL equations, including many sub-areas like domain adaptation, H-divergence, Domain-Adversarial Neural Networks(DANN), which are useful as quick reference for your research.

In this blog, we will summarize the latex code for equations and formula sheet of CFA Level II exam, Formula Sheet Equations and Latex Code. Topics include QUANTITATIVE METHODS, such as LINEAR REGRESSION, MULTIPLE REGRESSION, TIME SERIES ANALYSIS, Machine Learning, ECONOMICS, Exchange rate, Covered interest rate parity, Uncovered interest rate parity, Relative purchasing power parity, Fisher and international Fisher effects, FX carry trade, Mundell-Fleming model, ECONOMIC GROWTH, Growth accounting equation, Labor productivity growth accounting equation, Classical growth model (Malthusian model), Neoclassical growth model (Solow’s model), Endogenous growth model, Convergence, ECONOMICS OF REGULATION. The data source of this blog is summarized from WILEY’S CFA PROGRAM LEVEL II quicksheet.

Please leave your vote for the most popular faces that your Humanoid AI robot wife would look like?Reminders: The answers should be human females.Related Post:https://www.quora.com/Is-a-robotic-wife-better-than-a-human-wife

Most recently I read Isaac Asimov's science fiction novels and know about his famous "Three Laws of Robotics" (https://en.wikipedia.org/wiki/Three_Laws_of_Robotics). But I am not so convinced by his first rule "A robot may not injure a human being", especially when AI reaches status of Artificial General intelligence (AGI) or even Artificial Super intelligence (ASI). What if in the near future, among a group of AIs, some of them follow this no-harm rule but the rest don't? I am curious about what's the probability these AIs reach a consensus to start harming people? I would like to build some mathmetical/probability/simulation models to best fit the scenario and calculate the probability. Any thoughts or discussion will be very welcome.

In this blog, we will give you a brief introduction to AgentBoard, an open source AI agent visualization toolkit which can be used the same way as Tensorboard, which helps visaulize Tensors data during model training. AgentBoard aims to visualize key elements and information of AI Agents running loops in development and production stages of real-world scenarios. It provides easy logging APIs in python and can help log multiple data types such as text (prompt), tools use (function calling of LLM API), image, audio and video. With organized logging schemas, agentboard will visualize the agent-loop (PLAN -> ACT -> REFLECT -> REACT etc ), RAG (Retrieval Augumented Generation), Autonomous Agents running, Multi-Agents orchestration, etc. The rest of the blog will cover the basic data types usage, visualization of Agent Loop, Chat History, Tool Use, Functions Calling, RAG, etc.

大模型LLM 应用+AI Agents框架，为我们提供了非常便利的自动化执行任务的能力。微信公众号(订阅号)则是非常适合落地各种AI Agents的场景，我们可以利用微信公众号提供的文本、图像、语音的输入，在自己服务器上部署一套API框架，把自己感兴趣的一些对话、图文、语音等能力的API封装为Agents。这里给大家介绍一个拆箱即用的微信公众号服务端框架 Flask+tencent代码库来实现，并且会利用一个简单的金融智能助理(Finance Agent)的例子来实现一个根据用户输入来查询实时股价，并且返回给微信公众号用户的功能，支持更加复杂定制的AI Agents业务逻辑。

AI agent research have attracted a lot of attention with the rapid development of Large Language Model (LLM) and Reasoning (RL or CoT Chain of Thought) technology. Generative AI Agents use LLM to plan, act and reflect on the memories from the environment as well as the interactions from other agents, just like the environment in Stanford's Generative Agents paper "Generative Agents: Interactive Simulacra of Human Behavior". The simulation environment usually consists of a environment (Such as A Small Town) and multiple AI Agents taking actions to make plans and achieve goals. Before making plans and taking actions, agents will retrieve related information from memories, which is a list of descriptions of the timestamp and exact events, such as "2023-02-03 Someone is watching a movie...". During multi-agents simulation, each agent will have its own timeline and their actions are usually asynchronous. In this blog, we will give a review of the tools of AI Agents Visualization, especially in the situation where there are multiple agents with asynchronous actions during the simulation.

Dialogue Agent Multimodal Visualization Tools for AI Systems: A Review. With the rapid development of generative AI technology, developing Chatbot Assistant, Dialogue and Agents have become frequent tasks for designer, developer, product manager, machine learning and AI practitioner. There are a lot data (usually in json format) exchange during different phases of prototyping, designing and developing modern AI systems, such as Chatbot Assistant, Agent, Dialogue, AI Image Generator, text to image, AI video generator, etc. There are potential needs to help visualize the data (json format or others) for AI system. In this blog, we will introduce you an online dialogue data visualization tool DeepNLP Dialogue Visualization to help visualize the agents and dialogue history with simply a json string data. And we will use the OpenAI Dialogue GPT model for a multi-turn dialogue developing for example.

Dialogue Agent Multimodal Visualization Tools for AI Systems: A Review. With the rapid development of generative AI technology, developing Chatbot Assistant, Dialogue and Agents have become frequent tasks for designer, developer, product manager, machine learning and AI practitioner. There are a lot data (usually in json format) exchange during different phases of prototyping, designing and developing modern AI systems, such as Chatbot Assistant, Agent, Dialogue, AI Image Generator, text to image, AI video generator, etc. There are potential needs to help visualize the data (json format or others) for AI system. In this blog, we will introduce you an online dialogue data visualization tool DeepNLP Dialogue Visualization to help visualize the agents and dialogue history with simply a json string data. And we will use the OpenAI Dialogue GPT model for a multi-turn dialogue developing for example.

This blog summarize the latest research development of summarization papers published in ACL2023 conferences. This year there are total 49 papers related to summarization in ACL2023. Most of the authors' affiliations are top research institutes (Google Research, DeepMind, Meta FAIR) and universities (Stanford, Berkeley, MIT, CMU and others).

This blog summarizes the latest research development of dialogue and large language models (LLM) papers published in ACL2023 conferences. This year there are total 79 papers related to dialogue in ACL2023. Most of the authors' affiliations are top research institutes (Google Research, DeepMind, Meta FAIR) and universities (Stanford, Berkeley, MIT, CMU and others).

This blog summarizes the latest research development of speech papers published in ACL2023 conferences. This year there are total 54 papers related to speech in ACL2023. Most of the authors' affiliations are top research institutes (Google Research, DeepMind, Meta FAIR) and universities (Stanford, Berkeley, MIT, CMU and others).

This blog summarizes the latest research development of retrieval papers published in ACL2023 conferences. This year there are total 76 papers related to retrieval in ACL2023. Most of the authors' affiliations are top research institutes (Google Research, DeepMind, Meta FAIR) and universities (Stanford, Berkeley, MIT, CMU and others).

In this blog, we will introduce how to use ChatGPT stock analysis chatbot to quickly generate professional charts of financial data. A few AI techniques such as RAG (Retrieval Augmented Generation), Text2SQL, and Larget Language Models (LLM) are used to help users find financial data, draw chart to compare key metrics, and adjust the color and shape of the chart using simple natural language prompts. A typical scenrio for professional financial analysts is to draw chart to compare the market capitalization, PE ratio of stocks from global market in converted currencies (US Dollars for example). This is a frequent scenario of daily workflow. The snapshots of AI generated charts is shown using DeepNLP Financial Assistant. You can try by clicking the button below the page, copy and paste the query in the chatbox and ask AI to generate charts or tables in few seconds, copy the charts to your reports or send to your manager. From the chart, we can see that on January 15th, Microsoft (MSFT) market cap reaches 2,887 Billon US dollars, and Apple (AAPL) reaches 2,874.68 Billion US dollars. Microsoft's market cap surpassed Apple and became the company of largest market capitalization in United States. The real-time stock data is from the web APIs, and converted to SQL using Text2SQL and LLM techniques.

In this blog, we will summarize the latex code for basic calculus formulas, including Limits, Differentiation and Integration. For limits formulas, we will cover sections including: L'Hospital Rule, Limits of Power, Limits of xln(x), Limits of x^{n}/n!. For differentiation formulas, we will cover Differentiation of Polynomial Function, Chain Rule for Differentiation, Differentiation of Multiplication, Differentiation of Division, Differentiation of Trigonometric formulas (sin, cos, tan, sec), and Differentiation of Hyperbolic formulas (sinh, cosh, tanh, sech, coth, cosech).

Most recently I read Isaac Asimov's science fiction novels and know about his famous "Three Laws of Robotics" (https://en.wikipedia.org/wiki/Three_Laws_of_Robotics). But I am not so convinced by his first rule "A robot may not injure a human being", especially when AI reaches status of Artificial General intelligence (AGI) or even Artificial Super intelligence (ASI). What if in the near future, among a group of AIs, some of them follow this no-harm rule but the rest don't? I am curious about what's the probability these AIs reach a consensus to start harming people? I would like to build some mathmetical/probability/simulation models to best fit the scenario and calculate the probability. Any thoughts or discussion will be very welcome.

In this blog, we will introduce most popuplar formulas in Quantum Physics. We will also provide latex code of the equations. Topics of Quantum Physics include Black Body Radiation, The Compton Effect, Quantum Wave Functions, Operators in Quantum Physics, The Uncertainty Principle, The Schrödinger Equation, Parity, The Tunnel Effect, Harmonic Oscillator, Angular momentum, Spin, the Dirac Formalism, and so on.

In this blog, we will summarize the latex code for equations of CFA Level I exam, Formula Sheet Equations and Latex Code, and provide Chatbot as AI Assistant to facilitate your reading. You can ask question like what is "Real GDP" in the chatbox. Topics in the blog include three major parts of CFA Level I exam: QUANTITATIVE, ECONOMICS and FINANCIAL REPORTING. Detailed topics include THE TIME VALUE OF MONEY, Future Value, Present Value, Effective Annual Rate, Continuous Compounding, Ordinary Annuity, Annuity Due, Perpetuity, STATISTICAL CONCEPT AND MARKET RETURNS, Fisher Skewness, Kurtosis, Two-asset portfolio, Three-asset portfolio, Microeconomics, Simple Interest, Effective Rate, Future Value of Ordinary Annuities, Annuities Due, Present Value of Ordinary Annuities, Allocative Efficiency Condition, Average Fixed Cost; Macroeconomics Investment, Aggregate Expenditure Without Government or Foreign Sectors, Marginal Propensity to Consume MPC, Marginal Propensity Save MPS, Sum of Marginal Propensity to Save and Marginal Propensity to Consume, Autonomous Spending Multiplier, Balanced Budget Multiplier, Banks Reserve Ratio, Nominal Interest Rate, Real GDP, Real Interest Rate, Tax Multiplier, Unemployment Rate. FINANCIAL REPORTING and ANALYSIS, Basic EPS, Diluted EPS, Balance Sheet, Free Cash Flow to the Firm, Cash Flow Performance Ratio, Cash Flow To Revenue Ratio, Cash Return On Assets, Cash Return On Assets, Cash Return On Equity, Activity Ratio, Inventory Turnover, Days of Inventory On Hand (DOH), Receivables Turnover, Days of Sales Outstanding, etc.

In this blog, we will summarize the latex code for equations and formula sheet of CFA Level II exam, Formula Sheet Equations and Latex Code. Topics include QUANTITATIVE METHODS, such as LINEAR REGRESSION, MULTIPLE REGRESSION, TIME SERIES ANALYSIS, Machine Learning, ECONOMICS, Exchange rate, Covered interest rate parity, Uncovered interest rate parity, Relative purchasing power parity, Fisher and international Fisher effects, FX carry trade, Mundell-Fleming model, ECONOMIC GROWTH, Growth accounting equation, Labor productivity growth accounting equation, Classical growth model (Malthusian model), Neoclassical growth model (Solow’s model), Endogenous growth model, Convergence, ECONOMICS OF REGULATION. The data source of this blog is summarized from WILEY’S CFA PROGRAM LEVEL II quicksheet.

In this blog, we will summarize the latex code for equations of CFA Level I exam, Formula Sheet Equations and Latex Code, and provide Chatbot as AI Assistant to facilitate your reading. You can ask question like what is "Real GDP" in the chatbox. Topics in the blog include three major parts of CFA Level I exam: QUANTITATIVE, ECONOMICS and FINANCIAL REPORTING. Detailed topics include THE TIME VALUE OF MONEY, Future Value, Present Value, Effective Annual Rate, Continuous Compounding, Ordinary Annuity, Annuity Due, Perpetuity, STATISTICAL CONCEPT AND MARKET RETURNS, Fisher Skewness, Kurtosis, Two-asset portfolio, Three-asset portfolio, Microeconomics, Simple Interest, Effective Rate, Future Value of Ordinary Annuities, Annuities Due, Present Value of Ordinary Annuities, Allocative Efficiency Condition, Average Fixed Cost; Macroeconomics Investment, Aggregate Expenditure Without Government or Foreign Sectors, Marginal Propensity to Consume MPC, Marginal Propensity Save MPS, Sum of Marginal Propensity to Save and Marginal Propensity to Consume, Autonomous Spending Multiplier, Balanced Budget Multiplier, Banks Reserve Ratio, Nominal Interest Rate, Real GDP, Real Interest Rate, Tax Multiplier, Unemployment Rate. FINANCIAL REPORTING and ANALYSIS, Basic EPS, Diluted EPS, Balance Sheet, Free Cash Flow to the Firm, Cash Flow Performance Ratio, Cash Flow To Revenue Ratio, Cash Return On Assets, Cash Return On Assets, Cash Return On Equity, Activity Ratio, Inventory Turnover, Days of Inventory On Hand (DOH), Receivables Turnover, Days of Sales Outstanding, etc.

In this blog, we will summarize the latex code for equations and formula sheet of CFA Level II exam, Formula Sheet Equations and Latex Code. Topics include QUANTITATIVE METHODS, such as LINEAR REGRESSION, MULTIPLE REGRESSION, TIME SERIES ANALYSIS, Machine Learning, ECONOMICS, Exchange rate, Covered interest rate parity, Uncovered interest rate parity, Relative purchasing power parity, Fisher and international Fisher effects, FX carry trade, Mundell-Fleming model, ECONOMIC GROWTH, Growth accounting equation, Labor productivity growth accounting equation, Classical growth model (Malthusian model), Neoclassical growth model (Solow’s model), Endogenous growth model, Convergence, ECONOMICS OF REGULATION. The data source of this blog is summarized from WILEY’S CFA PROGRAM LEVEL II quicksheet.

In this blog, we will summarize the latex code for equations and the formula sheet of CFA Level III exam- Section Portfolio Management. Topics include important concepts, formulas of portfolio management, including Total Wealth, Weight of risky asset in the portfolio, Effective Annual Rate EAR, Marginal contribution to total risk MCTR, Actual contribution to total risk ACTR, Percentage of risk contributed by position, Ratio of excess return to MCTR, The Fama-French model, Objective function to maximize utility, Expected after tax return of a bond, Expected after tax return of equities, Expected after tax standard deviation, and After tax rebalancing range. Tag: Portfolio Management,CFA III,AI course

Dialogue Agent Multimodal Visualization Tools for AI Systems: A Review. With the rapid development of generative AI technology, developing Chatbot Assistant, Dialogue and Agents have become frequent tasks for designer, developer, product manager, machine learning and AI practitioner. There are a lot data (usually in json format) exchange during different phases of prototyping, designing and developing modern AI systems, such as Chatbot Assistant, Agent, Dialogue, AI Image Generator, text to image, AI video generator, etc. There are potential needs to help visualize the data (json format or others) for AI system. In this blog, we will introduce you an online dialogue data visualization tool DeepNLP Dialogue Visualization to help visualize the agents and dialogue history with simply a json string data. And we will use the OpenAI Dialogue GPT model for a multi-turn dialogue developing for example.

In this blog, we will summarize the latex code of most popular equations and formulas for Equilibrium, Chemistry. The topics include Acid Ionization Constant, Base Ionization Constant, Relationship of Conjugate Acidâ??Base Pair, Negative Logarithms Relationship of Conjugate Acidâ??base Pair, Buffer Design Equation, Gas Pressure and Concentration Relationship, Ion Product Constant for Water, pH and pOH Relationship, pH Definition, pOH Definition, pKa Definition, pKb Definition, pOH and Base Ionization Equilibrium Constant Relationship.

The 20 useful tricks to tell if Louis Vuitton bags are real or fake. This guidance introduces some useful tricks to tell the Authenticity of your Louis Vuitton bags, which is applied to different models of bags of Louis Vuitton designer handbags series, including Louis Vuitton Speedy, Louis Vuitton Alma, Louis Vuitton Neverfull, Louis Vuitton Twist, Louis Vuitton Petite Boite Chapeau, Louis Vuitton Looping Bag, Louis Vuitton Pochette Accessoires Bag, Louis Vuitton Capucines Bag, Louis Vuitton Noé Bag, Louis Vuitton Petite Malle Bag, etc. First of all, you can check the appearance of the Louis Vuitton bags, including the Printing of LV Logo Letters on the Gags, Granularity of letters on the leather should be clean and tight, the appearance of metal zipper, the letters on the washing labels, etc.

Hi parents and kids, this free online AI course "Use generative AI to Draw Paw Patrol Dog Chase" will gives your K12 kids a brief introduction to what is Artificial Intelligence (AI) technology, what can AI accomplish (such as AI Generated Contents converting text to image, Chatbots giving automatic response), and how does AI work in the easiest way that even K12 children can understand. This course covers some fundamental concepts of AI, including what neural networks is, what's the most popular neural network blocks of AI models (Transformers, Diffusion, etc.). Finally, kids can also participate by interacting with the AI during the course, by clicking the image or text with 'robot' icon or button, and get more detailed explanation, type a query or ask question using microphone by themselves, and accomplish the task of generating a picture of unique Paw Patrol Dogs and get the trophy. This course will takes around 20 minutes to complete. And all the interactive learning sessions in the course are designed by experienced children-education professionals. Let's get started!

Hi parents and kids, this free online AI course "Use generative AI to Draw Paw Patrol Dog Skye" will gives your K12 kids a brief introduction to what is Artificial Intelligence (AI) technology, what can AI accomplish (such as AI Generated Contents converting text to image, Chatbots giving automatic response), and how does AI work in the easiest way that even K12 children can understand. This course covers some fundamental concepts of AI, including what neural networks is, what's the most popular neural network blocks of AI models (Transformers, Diffusion, etc.). Finally, kids can also participate by interacting with the AI during the course, by clicking the image or text with 'robot' icon or button, and get more detailed explanation, type a query or ask question using microphone by themselves, and accomplish the task of generating a picture of unique Paw Patrol Dogs and get the trophy. This course will takes around 20 minutes to complete. And all the interactive learning sessions in the course are designed by experienced children-education professionals. Let's get started!

20 Tricks to Tell if Rolex Watch is Real or Fake

The 20 useful tricks to tell if Louis Vuitton bags are real or fake. This guidance introduces some useful tricks to tell the Authenticity of your Louis Vuitton bags, which is applied to different models of bags of Louis Vuitton designer handbags series, including Louis Vuitton Speedy, Louis Vuitton Alma, Louis Vuitton Neverfull, Louis Vuitton Twist, Louis Vuitton Petite Boite Chapeau, Louis Vuitton Looping Bag, Louis Vuitton Pochette Accessoires Bag, Louis Vuitton Capucines Bag, Louis Vuitton Noé Bag, Louis Vuitton Petite Malle Bag, etc. First of all, you can check the appearance of the Louis Vuitton bags, including the Printing of LV Logo Letters on the Gags, Granularity of letters on the leather should be clean and tight, the appearance of metal zipper, the letters on the washing labels, etc.

The 20 useful tricks to tell if your Chanel bags are real or fake. This guidance introduces some useful tricks to tell the authenticity of your Chanel bags, which are applied to different series, including Mademoiselle Chanel 2.55, Reissue 2.55 Flap Bag, Classic Flap (CF), Le Boy, Gabrielle, Wallet on Chain, GRAND SHOPPING TOTE (GST), Coco Handle, etc. First of all, you can check the appearance of the Chanel bags, including Chanel Logo Letters on the bags, Interior Leather of the Bags, Letters Carved on the Button, Screw of the Metal Plate, Double-C Metal Logo, etc.

The 20 useful tricks to tell if Hermes bags are real or fake. This guidance is applied to most lines of Hermes bags, including Birkin, Kelly, Evelyne, Constance, etc. You can also visit the official website of Hermes and compare apply the information from this tutorial to help you check important details of the authentification of luxury Hermes bags. The easiest way to tell if a Hermes bag is real or fake is to judge by its appearance. You can check the printing of Hermes logo letters on the bags, granularity of letters on the leathers, the appearance of metal zipper, the letters carved on the metal parts, the logo printed on the dust bags, the stitches on the hands of bags, etc.

How to tell if Gucci bags are real or fake. This guidance is applied to most lines of Cucci bags, including Lophidia, Dionysus, GG Marmont, Supreme & Retro, etc. You can also visit the official website of Gucci and apply the information from this tutorial to help you check important details of the authentification of luxury Gucci bags. The easiest way to tell if a Gucci bag is real or fake is to judge by its appearance. You can check the serial number on the leather plate, the shape of trademark and letters of Gucci Logo on the bags, the appearance of metal zipper, the double-G metal logo in the front, the washing labels, the metal button, etc.

The 20 useful tricks about how to tell if Dior bags are real or fake. This guidance is applied to most lines of Dior bags, including Dior Book Tote, Saddle Bags with Strap, 30 Montaigne East-West Bag with Chain, Small/Medium/Large Dior Toujours Bags, D-Vibe Bowling Bags, Lady Dior Bags, Lady D-Sire My ABCDior Bags, etc. You can also visit the official website of Dior (https://www.dior.com) and apply the information from this tutorial to help you check important details of the authentification of luxury Dior bags. The easiest way to tell if a Dior bag is real or fake is to judge by its appearance. You can check the "Christian Dior" logo on the leather plate, the appearance of metal zipper, inner corner of the large logo 'D', the serial numbers on the leather plate, the abbreviation of "CD" on the metal part, and the accessories on Dior bags.

The 20 useful tricks to tell if Prada Bags are Real or Fake. This guidance is applied to most lines of Prada bags, including Prada Re-Edition, Leather Handbag, Leather Tote Bag, Wicker and leather Prada Arque bag, Crochet tote bag, Prada Arqué crochet shoulder bag, Prada Buckle medium leather handbag with belt, Prada Re-Edition 1978, Prada Galleria Saffiano Leather Bag, etc. You can also visit the official website of Prada (https://www.prada.com) and apply the information from this tutorial to help you check important details of the authentification of luxury Prada bags. The easiest way to tell if a Prada bag is real or fake is to judge by its appearance. You can check the letters of Prada logo, the letters of

The 20 useful tricks to tell if Coach Bags are Real or Fake. This guidance is applied to most lines of Coach bags, including COACH RACHEL PHONE CROSSBODY BAG, COACH REVERSIBLE CITY TOTE BAG, COACH PRAIRIE SATCHEL BAG, COACH MARLON HOBO BAG, COACH DREAMER IN COLORBLOCK WITH WHIPSTITCH BAG, COACH DRAWSTRING CARRYALL BAG, COACH TOWN BUCKET BAG, COACH ROWAN SATCHEL BAG, COACH Mollie Bucket Bag, COACH Val Duffle BAG, COACH Gallery Tote BAG, COACH Mini Klare CROSSBODY BAG, etc. You can also visit the official website of Coach (https://www.coach.com) and apply the information from this tutorial to help you check important details of the authentification of Coach bags. The easiest way to tell if a Coach bag is real or fake is to judge by its appearance. You can check the Coach logo and the sign of horse and carriage, the leather plate, the serial number and coach story patch, text on the washing labels and origin of manufacturing, metal zipper, and the paper tag with bar code, etc.

The 20 useful tricks to tell if Fendi Bags are Real or Fake. This guidance is applied to most lines of Fendi bags, including FF Raffia Crochet Shopper, Reversible Shopper in Pequin Striped, Baguette Pouch, Fendigraphy mini, Baguette Mini, Fendigraphy Mini, Mon Tresor, Baguette, Small Roll, By the Way Mini, Sunshine Small, C'mon Small, etc. You can also visit the official website of Fendi (https://www.fendi.com) and apply the information from this tutorial to help you check important details of the authentification of Fendi bags. The easiest way to tell if a Fendi bag is real or fake is to judge by its appearance. You can check the Fendi logo printed on the washing label, the RFID authentification chips, the letters printed on the leather patch, the shape of scissors on the Label, and the Double F Logo, etc.

The 20 useful tricks to tell if IWC Schaffhausen watches are Real or Fake. This guidance is applied to most series of IWC Schaffhausen watches, including IWC PORTUGIESER ETERNAL CALENDAR, IWC Pilot Watches, IWC Portofino, IWC INGENIEUR, IWC AQUATIMER, IWC CERALUME, etc. You can also visit the official website of IWC Schaffhausen (https://www.iwc.com) and apply the information from this tutorial to help you check important details of the authentification of IWC watches. In this blog, we will compare two PORTUGIESER watches to show you the tricks and it's also applied to other IWC watch series. First of all, you can tell if IWC watch is real or fake by its appearance. Additionally, if you have the instruments to open the watches, you can also check the interior of watches and movement to see if they are correct and genuine with the official models.

The 20 useful tricks to tell if Omega watch is real or fake. This guidance is applied to almost all Omega models, including SEAMASTER, SPEEDMASTER, DE VILLE, CONSTELLATION, etc. First of all, you can check the Omega Watch Appearance, including Metallic logo VS Paint Print Logo, Serial Number, Letters Engraved Have Clear Edges, Letters of Calendar, Movement Has Only One Claw, Shape of the Engraved Graphics, Letters engraved inside panel are deep and clear, Hands should be Sharp. Secondly, you can perform detailed examination of the Omega Movement, including popular models of 8500, 8800, 9300 movements.

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Hi parents and kids, this free online AI course "Use generative AI to Draw Paw Patrol Dog Chase" will gives your K12 kids a brief introduction to what is Artificial Intelligence (AI) technology, what can AI accomplish (such as AI Generated Contents converting text to image, Chatbots giving automatic response), and how does AI work in the easiest way that even K12 children can understand. This course covers some fundamental concepts of AI, including what neural networks is, what's the most popular neural network blocks of AI models (Transformers, Diffusion, etc.). Finally, kids can also participate by interacting with the AI during the course, by clicking the image or text with 'robot' icon or button, and get more detailed explanation, type a query or ask question using microphone by themselves, and accomplish the task of generating a picture of unique Paw Patrol Dogs and get the trophy. This course will takes around 20 minutes to complete. And all the interactive learning sessions in the course are designed by experienced children-education professionals. Let's get started!

Hi parents and kids, this free online AI course "Use generative AI to Draw Paw Patrol Dog Skye" will gives your K12 kids a brief introduction to what is Artificial Intelligence (AI) technology, what can AI accomplish (such as AI Generated Contents converting text to image, Chatbots giving automatic response), and how does AI work in the easiest way that even K12 children can understand. This course covers some fundamental concepts of AI, including what neural networks is, what's the most popular neural network blocks of AI models (Transformers, Diffusion, etc.). Finally, kids can also participate by interacting with the AI during the course, by clicking the image or text with 'robot' icon or button, and get more detailed explanation, type a query or ask question using microphone by themselves, and accomplish the task of generating a picture of unique Paw Patrol Dogs and get the trophy. This course will takes around 20 minutes to complete. And all the interactive learning sessions in the course are designed by experienced children-education professionals. Let's get started!

In this blog, we will introduce how to use ChatGPT stock analysis chatbot to quickly generate professional charts of financial data. A few AI techniques such as RAG (Retrieval Augmented Generation), Text2SQL, and Larget Language Models (LLM) are used to help users find financial data, draw chart to compare key metrics, and adjust the color and shape of the chart using simple natural language prompts. A typical scenrio for professional financial analysts is to draw chart to compare the market capitalization, PE ratio of stocks from global market in converted currencies (US Dollars for example). This is a frequent scenario of daily workflow. The snapshots of AI generated charts is shown using DeepNLP Financial Assistant. You can try by clicking the button below the page, copy and paste the query in the chatbox and ask AI to generate charts or tables in few seconds, copy the charts to your reports or send to your manager. From the chart, we can see that on January 15th, Microsoft (MSFT) market cap reaches 2,887 Billon US dollars, and Apple (AAPL) reaches 2,874.68 Billion US dollars. Microsoft's market cap surpassed Apple and became the company of largest market capitalization in United States. The real-time stock data is from the web APIs, and converted to SQL using Text2SQL and LLM techniques.

In this blog, we will summarize the latex code for equations of CFA Level I exam, Formula Sheet Equations and Latex Code, and provide Chatbot as AI Assistant to facilitate your reading. You can ask question like what is "Real GDP" in the chatbox. Topics in the blog include three major parts of CFA Level I exam: QUANTITATIVE, ECONOMICS and FINANCIAL REPORTING. Detailed topics include THE TIME VALUE OF MONEY, Future Value, Present Value, Effective Annual Rate, Continuous Compounding, Ordinary Annuity, Annuity Due, Perpetuity, STATISTICAL CONCEPT AND MARKET RETURNS, Fisher Skewness, Kurtosis, Two-asset portfolio, Three-asset portfolio, Microeconomics, Simple Interest, Effective Rate, Future Value of Ordinary Annuities, Annuities Due, Present Value of Ordinary Annuities, Allocative Efficiency Condition, Average Fixed Cost; Macroeconomics Investment, Aggregate Expenditure Without Government or Foreign Sectors, Marginal Propensity to Consume MPC, Marginal Propensity Save MPS, Sum of Marginal Propensity to Save and Marginal Propensity to Consume, Autonomous Spending Multiplier, Balanced Budget Multiplier, Banks Reserve Ratio, Nominal Interest Rate, Real GDP, Real Interest Rate, Tax Multiplier, Unemployment Rate. FINANCIAL REPORTING and ANALYSIS, Basic EPS, Diluted EPS, Balance Sheet, Free Cash Flow to the Firm, Cash Flow Performance Ratio, Cash Flow To Revenue Ratio, Cash Return On Assets, Cash Return On Assets, Cash Return On Equity, Activity Ratio, Inventory Turnover, Days of Inventory On Hand (DOH), Receivables Turnover, Days of Sales Outstanding, etc.

Hi parents and kids, this free online AI course "Use generative AI to Draw Paw Patrol Dog Chase" will gives your K12 kids a brief introduction to what is Artificial Intelligence (AI) technology, what can AI accomplish (such as AI Generated Contents converting text to image, Chatbots giving automatic response), and how does AI work in the easiest way that even K12 children can understand. This course covers some fundamental concepts of AI, including what neural networks is, what's the most popular neural network blocks of AI models (Transformers, Diffusion, etc.). Finally, kids can also participate by interacting with the AI during the course, by clicking the image or text with 'robot' icon or button, and get more detailed explanation, type a query or ask question using microphone by themselves, and accomplish the task of generating a picture of unique Paw Patrol Dogs and get the trophy. This course will takes around 20 minutes to complete. And all the interactive learning sessions in the course are designed by experienced children-education professionals. Let's get started!

Hi parents and kids, this free online AI course "Use generative AI to Draw Paw Patrol Dog Skye" will gives your K12 kids a brief introduction to what is Artificial Intelligence (AI) technology, what can AI accomplish (such as AI Generated Contents converting text to image, Chatbots giving automatic response), and how does AI work in the easiest way that even K12 children can understand. This course covers some fundamental concepts of AI, including what neural networks is, what's the most popular neural network blocks of AI models (Transformers, Diffusion, etc.). Finally, kids can also participate by interacting with the AI during the course, by clicking the image or text with 'robot' icon or button, and get more detailed explanation, type a query or ask question using microphone by themselves, and accomplish the task of generating a picture of unique Paw Patrol Dogs and get the trophy. This course will takes around 20 minutes to complete. And all the interactive learning sessions in the course are designed by experienced children-education professionals. Let's get started!

In this blog, we will summarize the latex code for equations and formula sheet of CFA Level II exam, Formula Sheet Equations and Latex Code. Topics include QUANTITATIVE METHODS, such as LINEAR REGRESSION, MULTIPLE REGRESSION, TIME SERIES ANALYSIS, Machine Learning, ECONOMICS, Exchange rate, Covered interest rate parity, Uncovered interest rate parity, Relative purchasing power parity, Fisher and international Fisher effects, FX carry trade, Mundell-Fleming model, ECONOMIC GROWTH, Growth accounting equation, Labor productivity growth accounting equation, Classical growth model (Malthusian model), Neoclassical growth model (Solow’s model), Endogenous growth model, Convergence, ECONOMICS OF REGULATION. The data source of this blog is summarized from WILEY’S CFA PROGRAM LEVEL II quicksheet.

大家在使用抖音(Douyin Tiktok)的AI搜索功能的时候，遇到了哪些好的体验和有问题的体验？请麻烦写一下当时输入的条件，比如prompt输入文本，或者是上传截图。

大家在使用快手(Kuaishou)的AI搜索功能的时候，遇到了哪些好的体验和有问题的体验？请麻烦写一下当时输入的条件，比如prompt输入文本，或者是上传截图。

大家在使用知乎直答(Zhihu)AI搜索功能的时候，遇到了哪些好的体验和有问题的体验？请麻烦写一下当时输入的条件，比如prompt输入文本，或者是上传截图。

大家在使用知乎直答(Zhihu)AI搜索功能的时候，遇到了哪些好的体验和有问题的体验？请麻烦写一下当时输入的条件，比如prompt输入文本，或者是上传截图。

大家在使用拼多多(PPD Temu)APP的搜索推荐Search and Recommendation 功能的时候遇到了哪些好的体验和有问题的体验？请麻烦写明复现条件，比如prompt输入文本，上传截图。

大家在使用支付宝(Alipay)APP的搜索推荐Search and Recommendation 功能的时候遇到了哪些好的体验和有问题的体验？请麻烦写明复现条件，比如prompt输入文本，上传截图。

大家在使用淘宝(Taobao)APP的搜索推荐Search and Recommendation 功能的时候遇到了哪些好的体验和有问题的体验？请麻烦写明复现条件，比如prompt输入文本，上传截图。

大家在使用京东(JD)APP的搜索推荐Search and Recommendation 功能的时候遇到了哪些好的体验和有问题的体验？请麻烦写明复现条件，比如prompt输入文本，上传截图。

大家在使用知乎(Zhihu)APP的搜索推荐Search and Recommendation 功能的时候遇到了哪些好的体验和有问题的体验？请麻烦写明复现条件，比如prompt输入文本，上传截图。

大家在使用微信(WeChat)APP的AI问答功能的时候，遇到了哪些好的体验和有问题的体验？请麻烦写明复现条件，比如prompt输入文本，上传截图。

大家在使用微信(WeChat)APP的搜索推荐Search and Recommendation 功能的时候遇到了哪些好的体验和有问题的体验？请麻烦写明复现条件，比如prompt输入文本，上传截图。

大家在使用小红书(Xiaohongshu)APP的搜索推荐Search and Recommendation 功能的时候遇到了哪些好的体验和有问题的体验？请麻烦写明复现条件，比如prompt输入文本，上传截图。

大家在使用快手(Kuaishou Kwai)短视频的搜索推荐Search and Recommendation 功能的时候遇到了哪些好的体验和有问题的体验？请麻烦写明复现条件，比如prompt输入文本，上传截图。

大家在使用抖音的即梦AI生成视频的时候遇到了哪些好的体验和有问题的体验？请务必写明prompt输入文本和视频截图or短视频clip

大家在使用可灵AI生成视频的时候遇到了哪些好的体验和有问题的体验？请务必写明prompt输入文本和视频截图or短视频clip

Please leave your thoughts on the best and coolest AI Generated Images.

Please leave your thoughts on free alternatives to Midjourney Stable Diffusion and other AI Image Generators.

Please leave your thoughs on the most scary or creepiest AI Generated Images.

We are witnessing great success in recent development of generative Artificial Intelligence in many fields, such as AI assistant, Chatbot, AI Writer. Among all the AI native products, AI Search Engine such as Perplexity, Gemini and SearchGPT are most attrative to website owners, bloggers and web content publishers. AI Search Engine is a new tool to provide answers directly to users' questions (queries). In this blog, we will give some brief introduction to basic concepts of AI Search Engine, including Large Language Models (LLM), Retrieval-Augmented Generation(RAG), Citations and Sources. Then we will highlight some majors differences between traditional Search Engine Optimization (SEO) and Generative Engine Optimization(GEO). And then we will cover some latest research and strategies to help website owners or content publishers to better optimize their content in Generative AI Search Engines.

We are seeing more applications of robotaxi and self-driving vehicles worldwide. Many large companies such as Waymo, Tesla and Baidu are accelerating their speed of robotaxi deployment in multiple cities. Some human drivers especially cab drivers worry that they will lose their jobs due to AI. They argue that the lower operating cost and AI can work technically 24 hours a day without any rest like human will have more competing advantage than humans. What do you think?

Please leave your thoughts on whether human artists will be replaced by AI Image Generator. Some similar posts on other platforms including quora and reddit. Is art even worth making anymore, Will AI art eventually permanently replace human artists, Do you think AI will ever replace artists, Do people really think that replacing artists with ai is a good idea

请分享一下你在使用AI工具中遇到的令人震惊的bad case。最好写一下你的理由和希望回答的答案。

Related:
https://www.reddit.com/r/productivity/comments/192qa8z/any_ai_productivity_tools_that_actually_worked/

Please leave your thought on the typical use scenarios of four-legged Quadruped Robot Dogs.Related Post:
https://www.quora.com/What-are-the-most-common-business-use-cases-for-robot-dogs

Who is your favourite pick and please provide some reasons?

Please leave your thoughts on the most import features Humanoid Robot should have in the future.Related Post:
https://www.quora.com/What-features-will-your-humanoid-robot-need-to-have-in-the-future

I am interested in the recent development of Humanoid Robots like Figure 01 Figure 02 robots. What are their typical use cases?

I am interested in the recent development of Humanoid Robots like Figure 01 Figure 02 robots. What are their typical use cases?

In this blog, we will summarize the latex code of most fundamental equations of multi-task learning(MTL) and transfer learning(TL). Multi-Task Learning aims to optimize N related tasks simultaneously and achieve the overall trade-off between multiple tasks. Typical network structure include shared-bottom models, Cross-Stitch Network, Multi-Gate Mixture of Experts (MMoE), Progressive Layered Extraction (PLE), Entire Space Multi-Task Model (ESSM) models and etc. Different from multi-task learning. In the following sections, we will dicuss more details of MTL equations, which is useful for your quick reference.

In this blog, we will give you a brief introduction of most recent progress in On-Device Recommendation (Edge Recommendation) in real-world applications. Mobile AI systems and applications have been more popular due to increasing number of mobile devices and technology developments in deep learning based methods, e.g. model compression, distillation and so on. In recent years, on-device recommendations have enpowered many Mobile Apps to better respond to users' most real-time behaviors on mobile deivces, including clicks, scroll-donwns, likes, and many others. We will introduce three applications, including EdgeRec in Taobao, searchbar background words reranking in Alipay, search result reranking in Meituan-Dianping, short-video recommendation in KuaiShou, TfLite Implementation of Tensorflow, etc.

In this blog, we will summarize the latex code of most fundamental equations of GPT (Generative Pre-trained Transformer) Models. This blog will cover many popular GPT models, including GPT1, GPT2, GPT3, GPT4, InstructGPT, ChatGPT, etc.

In this blog, we will introduce 4 ways to use ChatGPT powered chatbot to gain real-time information of global stock markets and accelerate your working productivity. The global financial stock market's realtime data is usually seperated across different websites globally, including NASDAQ, NYSE, London Stock Change(LSE), Hongkong Stock Exchange(HKEX), Tokyo stock Exchange(TSE), National Stock Exchange in India (NSE), SHANGHAI/SHENZHEN stock Exchange, etc. Use ChatGPT powered Chatbot can help query stock prices from diffent market, compare them in a single question in the natural languange manner. For example, you can ask Chatbot a question: "Stock price of Tesla, Shell and Alibaba" in a single question. You can gain also more information from there different global markets at the same time (NASDAQ, London Stock Exchange and Hongkong Stock Exchange, etc). Additionally, you can also ask more specific questions like financial data including PE ratio, Market Capitalization (Market Cap), High Price of a particular stocks. Comparing the financial data performance, such as stock price, market cap, pe ratio of multiple stocks are also a frequent way of using Chatbot. Also you can ask the chatbot to help you plot a table or chart to compare the stocks, which you can just copy and paste to your daily financial report.

Ranking is a crucial part of modern commercial recommendation and advertisement system. It aims to solve the problem of accurate click-through rate(CTR) prediction. In this article, we will provides some of most popular ranking equations of commercial recommendation or ads system.

In this blog, we will summarize the latex code of most fundamental and popular knowledge graph (KG) Equations, with special focus on the link prediction tasks. We will cover a wide range of models, including TransE, TransR, TransE, RotatE, SME(Linear), SimplE etc. Knowledge Graph consists of a set of triples [(h, r, t)]. h and t denotes the head node and tail node respectively. And r denotes multiple relation types. One common solution to the link prediction tasks is to learn low-dimensional embeddings of entities(E) and relations (R), and infer the missing part of [(?, r, t), (h, ?, t), (h, r, ?)].

This blog summarizes the latest research development of Retrieval papers published in KDD2023 conferences. This year there are total 8 papers related to Retrieval in KDD2023. Most of the authors' affiliations are top research institutes (Google Research, DeepMind, Meta FAIR) and universities (Stanford, Berkeley, MIT, CMU and others).

In this blog, we are introducing how you can use financial chatbot and AI-assistant writer to help you facilitate daily financial work, such as getting realtime stock price quote from global markets (US: NYSE,NASDAQ; China: HKEX, Shanghai,Shenzhen, etc.), consulting investment advice, consensus ratings and target price of stocks from analysts of multiple organizations (Schwab.com, MarketBeats, Zacks.com) and compare them, finding the meaning of complicated financial terms such as CPI, Put Option, Sharpe Ratio. You can also use ChatGPT to act as personally financial assistant, track your portfolio's stock names and show realtime changes. For content generation, you can use the AI-Writer assistant to facilitate writing reports, which integrates many APIs and other ChatGPT style Large Language Model to automatically generate text contents such as market research, financial reports of listed companies, etc.

This blog summarizes the latest research development of GNN papers published in KDD2023 conferences. This year there are total 9 papers related to GNN in KDD2023. Most of the authors' affiliations are top research institutes (Google Research, DeepMind, Meta FAIR) and universities (Stanford, Berkeley, MIT, CMU and others).

This blog summarizes the latest research development of Recommendation papers published in KDD2023 conferences. This year there are total 44 papers related to Recommendation in KDD2023. Most of the authors' affiliations are top research institutes (Google Research, DeepMind, Meta FAIR) and universities (Stanford, Berkeley, MIT, CMU and others).

In this blog, we will show you 3 easy steps to create your personal financial chatbot assistant powered by ChatGPT. ChatGPT is Large Language Model (LLM) based Artificial Intelligent service created by OpenAI company, who just released their latest Assistant API for chatbot creation. These AI assistants are very useful in financial industries. Common use cases include: Generating realtime stock price quotes, Analyzing financial data, Providing investment advices, generating summary of financial reports, etc. Keywords: Financial Chatbot, Financial ChatGPT, Chatbot Stock Price, Chatbot NYSE, Chatbot.

This blog summarizes the latest research development of Knowledge Graph papers published in KDD2023 conferences. This year there are total 11 papers related to Knowledge Graph in KDD2023. Most of the authors' affiliations are top research institutes (Google Research, DeepMind, Meta FAIR) and universities (Stanford, Berkeley, MIT, CMU and others).

We are seeing more applications of robotaxi and self-driving vehicles worldwide. Many large companies such as Waymo, Tesla and Baidu are accelerating their speed of robotaxi deployment in multiple cities. Some human drivers especially cab drivers worry that they will lose their jobs due to AI. They argue that the lower operating cost and AI can work technically 24 hours a day without any rest like human will have more competing advantage than humans. What do you think?

We are seeing more applications of robotaxi and self-driving vehicles worldwide. Many large companies such as Waymo, Tesla and Baidu are accelerating their speed of robotaxi deployment in multiple cities. Some human drivers especially cab drivers worry that they will lose their jobs due to AI. They argue that the lower operating cost and AI can work technically 24 hours a day without any rest like human will have more competing advantage than humans. What do you think?

In this blog, we will summarize the latex code of equations for Diffusion Models, which are among the top-performing generative models, including GAN, VAE and flow-based models. The basic idea of diffusion models are to inject random noise to the feature vector in the forward process as markov chain models, and in the reverse process gradualy reconstruct the feature vector for generation. See below blogpost as reference for more details: Weng, Lilian. (Jul 2021). What are diffusion models? Lilâ??Log. lilianweng.github.io/posts/2021-07-11-diffusion-models/

Cross-Domain Recommendation in Commercial Recommendation System With application of MMD and Wasserstein distance