DjangoPeng/openai-quickstart
A hands-on guide covering LLM theory, OpenAI API development, and LangChain-based GenAI application development.
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This repository provides a comprehensive learning resource for understanding and implementing large language models. It covers the theoretical foundations of BERT and GPT architectures, practical OpenAI API usage including embeddings, GPT models, and function calling, and demonstrates GenAI application development using LangChain for use cases such as AutoGPT, RAG-based chatbots, and machine translation. The content is delivered through Jupyter Notebooks with practical code examples.
Frequently asked
- What is DjangoPeng/openai-quickstart?
- A hands-on guide covering LLM theory, OpenAI API development, and LangChain-based GenAI application development.
- Is openai-quickstart open source?
- Yes — DjangoPeng/openai-quickstart is open source, released under the Apache-2.0 license.
- What language is openai-quickstart written in?
- DjangoPeng/openai-quickstart is primarily written in Jupyter Notebook.
- How popular is openai-quickstart?
- DjangoPeng/openai-quickstart has 1.8k stars on GitHub.
- Where can I find openai-quickstart?
- DjangoPeng/openai-quickstart is on GitHub at https://github.com/DjangoPeng/openai-quickstart.