Track Awesome Azure Openai Llm Updates Weekly

A curated reference for 🌌 Azure OpenAI, 🦙 LLMs (RAG, Agents), and resources.

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[ Daily / Weekly / Overview ]

Dec 01 - Dec 07, 2025

Quick Navigation / 1. App & Agent

• RAG: RAG, Advanced RAG, GraphRAG, RAG Application, Vector Database & Embedding

• Application: AI Application (Agent & Application, No Code & User Interface, Infrastructure & Backend Services, Caching, Data Processing, Gateway, Memory)

• Agent Protocols: Agent Protocol (MCP, A2A, Computer use)

• Coding & Research: Coding & Research (Coding, Domain-Specific Agents, Deep Research)

• Frameworks: Top Agent Frameworks, Orchestration Framework (LangChain, LlamaIndex, Semantic Kernel, DSPy)

Quick Navigation / 2. Azure OpenAI

• Overview: Azure OpenAI Overview

• Frameworks: LLM Frameworks, Agent Frameworks

• Tooling: Prompt Tooling, Developer Tooling

• Products: Microsoft Copilot Products, Agent Development, Copilot Development

• Services: Azure AI Search, Azure AI Services

• Research: Microsoft Research

• Applications: Azure OpenAI Application, Azure OpenAI Accelerator & Samples, Use Case & Architecture References

Quick Navigation / 3. Research & Survey

• Landscape: Large Language Model: Landscape, Comparison, Evolutionary Tree, Model Collection

• Prompting: Prompt Engineering and Visual Prompts

• Finetuning: Finetuning, Quantization Techniques, Other Techniques and LLM Patterns

• Challenges: Large Language Model: Challenges and Solutions, Context Constraints, Trustworthy, Safe and Secure LLM, Large Language Model's Abilities, Reasoning

• Products & Impact: OpenAI Roadmap, OpenAI Models, OpenAI Products, Anthropic Products, Google AI Products, AGI Discussion and Social Impact

• Survey & Build: Survey and Reference, Survey on Large Language Models, Build an LLMs from Scratch, Business Use Cases

Quick Navigation / 4. Tools & Resource

• Tools: General AI Tools and Extensions, LLM for Robotics, Awesome Demo

• Data: Datasets for LLM Training

• Evaluation: Evaluating Large Language Models, LLMOps: Large Language Model Operations

Quick Navigation / 5. Best Practices

• RAG: RAG Best Practices, The Problem with RAG, RAG Solution Design, RAG Research

• Agent: Agent Best Practices, Agent Design Patterns, Tool Use: LLM to Master APIs

• Reference: Proposals & Glossary