generative-ai vs awesome-azure-openai-llm
generative-ai: This repository serves as a comprehensive hub for end-to-end Generative AI learning, offering an extensive collection of documentation, learning roadmaps, and practical use cases. It covers core GenAI concepts, architectural patterns, cloud platform guides for AWS, Azure, and VertexAI, alongside various projects like RAG, Agentic AI, and conversational systems.; awesome-azure-openai-llm: This repository offers a comprehensive collection of curated resources for Azure OpenAI, Large Language Models (LLMs), and their diverse applications. It features concise summaries, chronological organization, and active tracking to keep users updated on the latest developments in the field.
TL;DR
Develop Retrieval-Augmented Generation (RAG) systems
Building Retrieval-Augmented Generation (RAG) systems
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