Track Awesome Azure Openai Llm Updates Weekly

A curated list of 🌌 Azure OpenAI, 🦙 Large Language Models (incl. RAG, Agent), and references with memos.

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[ Daily / Weekly / Overview ]

May 26 - Jun 01, 2025

Section 1 🎯: RAG

• RAG (Retrieval-Augmented Generation)

• RAG Design | Application
  • GraphRAG

• Vector DB

Section 2 🌌: Azure OpenAI

• Microsoft LLM Framework

• Copilot Products & Azure OpenAI Service | Research

• Azure Reference Architecture

Section 3 🌐: LLM Applications

• LLM Frameworks | Applications
  • Code Editor
  • Memory

• Caching, UX, Proposals & Other Topics

• LLMs for Robotics

• Awesome Demo

Section 4 🤖: Agent

• Agent Design Patterns

• Agent Frameworks | Applications
  • Code Interpreter
  • Model Context Protocol (MCP) & Computer Use
  • Deep Research

Section 5 🏗️: Semantic Kernel & DSPy

• Semantic Kernel: Micro-orchestration

• DSPy: Optimizer frameworks

Section 6 🛠️: LangChain | LlamaIndex

• LangChain Features: Macro & Micro-orchestration

• LangChain Agent & Criticism

• LangChain vs Competitors

• LlamaIndex: Micro-orchestration & RAG

Section 7 🧠: Prompting | Finetuning

• Prompt Engineering

• Finetuning: PEFT (e.g., LoRA), RLHF, SFT

• Quantization & Optimization

• Other Techniques: e.g., MoE

• Visual Prompting

Section 8 🏄‍♂️: Challenges & Abilities

• AGI Discussion & Social Impact

• OpenAI Products & Roadmap

• Context Constraints: e.g., RoPE

• Trust & Safety

• LLM Abilities
  • Reasoning

Section 9 🌍: LLM Landscape

• LLM Taxonomy

• LLM Collection

• Domain-Specific LLMs: e.g., Software development

• Multimodal LLMs

Section 10 📚: Surveys & References

• LLM Surveys | Business Use Cases

• Building LLMs: from scratch

• LLMs for Korean & Japanese

• Learning and Supplementary Materials

Section 11 🧰: AI Tools & Extensions

• AI Tools & Extensions

Section 12 📊: Datasets

• LLM Training Datasets

Section 13 📝: Evaluations

• LLM Evaluation

• LLMOps

Section 13 📝: Evaluations / Legend 🔑

• ref: external URL

• doc: archived doc

• cite: the source of comments

• cnt: number of citations

• git: GitHub link

• x-ref: Cross reference

• 📺: YouTube or video

• 💡 or 🏆: recommendation