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Explore clean, cutting-edge Generative-AI code—innovate, learn, and build the future of intelligent applications.

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Generative-Ai

  • Explore clean, cutting-edge Generative-AI code—innovate, learn, and build the future of intelligent applications.

  • This open-source repository, developed by Devesh Yadav (me), showcases cutting-edge generative AI projects written in JavaScript and TypeScript with clean, well-commented code designed for easy exploration and learning. Covering foundations of LLMs, AI agents, chatbots, RAG, vector databases, multi-modal AI, and secure self-hosted models, it empowers users to build scalable, production-ready AI applications. With no tutorials or videos, the focus is solely on high-quality code and clear READMEs, making advanced AI concepts accessible to developers and recruiters seeking practical AI expertise. Connect with me at [https://www.devesh.work]. Join this transparent, hands-on AI coding community shaping the future of intelligent applications.

  • You just need your OPENAI api key with you to get started, you can use Gemini but its prefer to go with OpenAI.

Project Structure

  • every folder contains a readme.md file make sure to open that side by side when you start coding.
  • you need to create a .env file and put your OPENAI_API_KEY there, in every folder for running the code.

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Explore clean, cutting-edge Generative-AI code—innovate, learn, and build the future of intelligent applications.

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