AI 教程

Run LLMs locally (Windows, macOS, Linux) by using these easy-to-use LLM frameworks: Ollama, LM Studio, vLLM, llama.cpp, Jan, and llamafile.

Take the first steps to master in-database machine learning using Snowflake Snowpark.

Learn the fundamentals of reinforcement learning through the analogy of a cat learning to use a scratch post.

Explore different approaches to enhance RAG systems: Chunking, Reranking, and Query Transformations.

Unlock the power of Large Language Models (LLMs) in your applications with our latest blog on "Serving LLM Application as an API Endpoint Using FastAPI in Python." LLMs like GPT, Claude, and LLaMA are revolutionizing chatbots, content creation, and many more use-cases. Discover how APIs act as crucial bridges, enabling seamless integration of sophisticated language understanding and generation features into your projects.

A detailed tutorial on the functionalities, comparisons, and practical applications of the Mistral Large Model.

Discover the family of LLMs available and the elements to consider when evaluating which LLM is the best for your use case.

An introductory article on how to perform machine learning using SQL statements in PostgresML.

Learn everything about a versatile open-source application that uses OpenAI and Google AI APIs to provide you with a better user experience. It's available on desktop and browser and can even be privately deployed.

Learn how GPTCache retrieves cached results instead of generating new responses from scratch.

Learn to manage GPT model costs with tiktoken in Python. Explore tokenization, BPE, and estimate OpenAI API expenses efficiently.

Learn how to run inference on GPUs/TPUs and fine-tune the latest Gemma 7b-it model on a role-play dataset.