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.

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.

研究如何打通tensorflow线下python脚本训练建模，线上生产环境用C++代码直接调用预先训练好的模型完成预测的工作，而不需要用自己写的Inference的函数。因为目前tensorflow提供的C++的API比较少，所以参考了几篇已有的日志，踩了不少坑一并记录下来。写了一个简单的ANN模型对Iris数据集分类的Demo。

In this blog, we will give you a brief introduction of how to contribute to the "tencent" python package third party APIs and help developers integrate future tencent product and services API easier, such as backend for "Wechat public account Automatic Reply". The guidelines are also listed and any violation of the guidelines will not be accepted in the MR request of Github.

In this blog, we will show you how simple it is to write a python spider to crawl realtime stock quotes from Hong Kong Stock Market (HKEX) official website. We will use the common python lib "requests" and "BeautifulSoup". And the complete code is also attached to this blog. We use Tencent(stock code: 700) as an example to show you how to to download the realtime stock price quote from HKEX's official website