#567 · Primary category: Education & Research

openai-quickstart

A comprehensive guide to understanding and implementing large language models with hands-on examples using LangChain for GenAI applications.

Project last updated:03/08/25

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License

Apache-2.0

Why we included this project

Getting from model basics to a working GenAI app usually means jumping between tutorials, and this repository collects the whole path in one place. It explains the internals of BERT and the GPT series, then moves into practical code for OpenAI embeddings, GPT-3.5 and GPT-4 chat calls, function calling, and LangChain builds such as a retrieval chatbot, an AutoGPT-style agent, and machine translation. Later modules cover the surrounding stack, including GPU selection, Hugging Face, ChatGLM, and data privacy and compliance considerations. Everything is laid out as modular lessons with environment setup steps included, so a single developer can work through it at their own pace or a team can use it for onboarding.

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