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DebanjanSarkar / repository
This repository contains a collection of Generative AI code samples and notes in the form of python files and Jupyter notebooks. Code samples include common to advanced usage of LLMs using LangChain, etc., tools
Welcome to the Generative AI Code Samples repository! Here, you'll find a collection of Jupyter notebooks and Python applications that serve as code samples and notes for learning generative AI topics and technologies. These resources are curated from official documentations and courses, covering areas such as LangChain, Azure OpenAI, and more.
The repository contains a variety of code samples and notes organized into Jupyter notebooks and Python applications. Each notebook includes markdown cells explaining the purpose of each code cell and providing context for the projects.
Exploring Notebooks:
Running Python Applications:
If you find any errors, have suggestions for improvement, or want to contribute your own code samples, feel free to submit a pull request. Contributions from the community are highly appreciated and help improve the learning experience for everyone.
For running the notebooks and Python applications and accessing the APIs utilised in the code samples, makes sure to create a .env file in the root folder of the project directory. Then, in that file, put the following API keys, with the names exactly same as stated below:
Feel free to explore, learn, and contribute to the Generative AI Code Samples repository! If you have any questions or suggestions, don't hesitate to reach out. Happy coding!
Selected from shared topics, language and repository description—not editorial ratings.
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