This repository serves as a comprehensive learning hub for Generative AI, targeting individuals seeking to understand and implement GenAI technologies. It offers a structured approach to learning, covering roadmaps, essential terminology, interview preparation, and practical coding examples for both API-based and local LLM execution.

How It Works

The project curates a collection of resources, including PDFs and GitHub repositories, to guide users through various aspects of Generative AI. It emphasizes practical application by providing code examples for interacting with popular LLM APIs (Groq, Claude, OpenAI, Gemini, etc.) and local LLM execution frameworks (Hugging Face, Ollama, LM Studio). The inclusion of a GenAI roadmap and essential terms aims to provide a foundational understanding before diving into more advanced topics like prompt engineering, RAG, and agentic AI.

Quick Start & Requirements

• Install/Run: No specific installation is required as this is a resource repository. Users can clone the repository to access all curated links and code examples.
• Prerequisites: Access to the internet is required to view linked resources and run code examples. Specific code examples may require Python and relevant libraries (e.g., for API calls, Hugging Face, Ollama).
• Resources:
  • GenAI Roadmap: GitHub
  • GenAI Essential Terms: PDF
  • GenAI Interview Q & A: PDF
  • Prompt Engineering: GitHub
  • RAG: PDF
  • Agentic AI: GitHub
  • GenAI on Cloud: Azure, AWS, VertexAI

Highlighted Details

• Comprehensive coverage from foundational terms to advanced topics like RAG and Agentic AI.
• Practical code examples for interacting with major LLM APIs and local LLM setups.
• Includes dedicated sections for GenAI roadmaps and interview preparation.
• Resources are presented in a mix of PDF and GitHub links for accessibility.

Maintenance & Community

Contributions are welcome via pull requests. The repository provides a standard GitHub contribution workflow guide.

Licensing & Compatibility

The repository itself does not specify a license for the curated content. Individual linked resources may have their own licenses. Compatibility for commercial use or closed-source linking depends on the licenses of the linked external resources and code examples.

Limitations & Caveats

This repository is a curated list of resources and does not contain executable code itself, requiring users to navigate to external links for practical implementation. The maintenance and update frequency of the linked resources are external to this repository's direct control.