aishwaryanr/awesome-generative-ai-guide

Awesome Generative AI Guide is a free, community-maintained learning hub for everything related to generative AI, the technology behind ChatGPT, image generators, and similar tools. It's not software to run, it's a curated library of learning materials, courses, research papers, and practical resources for anyone wanting to understand or build with AI. The collection is organized around several practical needs. There's a monthly digest of the most important new AI research papers, distilled into accessible summaries. There are free structured courses on topics like how to build applications with large language models (LLMs), prompt engineering (the craft of writing instructions that get better results from AI), RAG (Retrieval-Augmented Generation, a technique for giving AI models access to specific documents or databases), and AI agents (AI systems that can take sequences of actions autonomously). For founders and vibe coders building AI-powered products, this is a practical starting point: the course materials teach real-world skills like choosing the right AI model, evaluating whether your AI is performing well, deploying AI features in production, and understanding the limitations of current technology. There's also a dedicated section of 60 common generative AI interview questions, useful for hiring or for verifying your own understanding. The repository includes over 90 links to free GenAI courses from platforms across the web, a glossary of AI terminology explained in plain language, and code notebooks you can run immediately to experiment with AI concepts hands-on. It's actively maintained and updated as the field evolves rapidly.