Track Awesome Azure Openai Llm Updates Daily
A curated list of 🌌 Azure OpenAI, 🦙 Large Language Models (incl. RAG, Agent), and references. [code] https://github.com/kimtth/azure-openai-llm-cookbook
🏠 Home · 🔍 Search · 🔥 Feed · 📮 Subscribe · ❤️ Sponsor · 😺 kimtth/awesome-azure-openai-llm · ⭐ 364 · 🏷️ LLM
Jul 29, 2025
Tools / 8.📚AI Tools & Extensions
Jul 28, 2025
Core Topics / 1.🎯RAG Systems
- RAG Fundamentals - Core concepts and implementation strategies
- RAG Architecture Design - System design patterns and best practices
- RAG Applications - Real-world implementations and use cases
- GraphRAG - Graph-based retrieval approaches
- Vector Databases - Comparison and selection guide
Core Topics / 2.🌌Azure OpenAI
- Azure AI Services - Azure AI Search, AI services
- Reference Architectures - Proven architectural patterns and samples
Core Topics / 3.🤖LLM Applications
- Development Frameworks - Tools for building LLM applications
- Application Development - Implementation guides and best practices
- Code Development Tools - AI-powered coding assistants and editors
- Memory Systems - Persistent memory and context management
- Performance Optimization - Caching strategies and UX improvements
- Emerging Concepts - New paradigms like Vibe Coding and Context Engineering
- Robotics Integration - LLMs in robotic systems
- Demonstration Projects - Inspiring examples and showcases
Core Topics / 4.🤖Agent Development
- Design Patterns - Proven architectural approaches for agent systems
- Development Frameworks - Tools and libraries for building agents
Core Topics / 5.🧠Prompt Engineering & Finetuning
- Model Finetuning - PEFT (LoRA), RLHF, and supervised fine-tuning
- Model Optimization - Quantization and performance optimization
- Advanced Techniques - Mixture of Experts (MoE) and other patterns
Core Topics / 6.🏄♂️Challenges & Abilities
- AGI and Social Impact - Discussions on artificial general intelligence
- OpenAI Ecosystem - Product roadmaps and strategic direction
- Technical Constraints - Context limitations and solutions (e.g., RoPE)
- Safety and Security - Building trustworthy AI systems
- LLM Capabilities - Understanding what LLMs can and cannot do
- Reasoning Abilities - Logical reasoning and problem-solving
Core Topics / 7.🌍LLM Landscape
- Model Taxonomy - Classification and comparison of LLMs
- Model Collection - Comprehensive list of available models
- Domain-Specific Models - Specialized models for software development and other domains
- Multimodal Models - Models handling text, image, audio, and video
🏗️Frameworks / LangChain & LlamaIndex
- LangChain Agents - Agent implementations and critical analysis
- Framework Comparisons - LangChain vs. alternative frameworks
Tools / 9.📊Datasets
- Training Datasets - High-quality datasets for model training and fine-tuning
Tools / 10.📝Evaluation Methods
- Evaluation Frameworks - Methods and metrics for LLM assessment
Tools / 11.🧠Research & Surveys
- Business Applications - Industry use cases and implementation strategies
- Building from Scratch - Educational resources for understanding LLM internals
- Multilingual Resources - LLM resources for Korean, Japanese, and other languages
- Learning Materials - Tutorials, courses, and supplementary resources
Jul 14, 2025
Core Topics / 2.🌌Azure OpenAI
- Microsoft Copilot - Copilot products overview
- Microsoft Research - Research publications and findings
Core Topics / 4.🤖Agent Development
- Agent Applications - Real-world agent implementations
- Code Interpreters - Open-source alternatives to OpenAI's Code Interpreter
- Model Context Protocol - MCP, Agent-to-Agent communication, and computer interaction
- Research Agents - AI systems for deep research and analysis
May 21, 2025
Core Topics / 2.🌌Azure OpenAI
- Microsoft LLM Framework - Official frameworks and SDKs
Core Topics / 5.🧠Prompt Engineering & Finetuning
- Prompt Engineering - Techniques for effective prompt design
- Visual Prompting - Working with multimodal inputs
🏗️Frameworks / Semantic Kernel & DSPy
- Semantic Kernel - Microsoft's micro-orchestration framework for AI applications
- DSPy - Optimizer frameworks for systematic prompt and model optimization
🏗️Frameworks / LangChain & LlamaIndex
- LangChain Features - Comprehensive feature overview and cheat sheets
- LlamaIndex - Micro-orchestration and RAG-focused framework
Tools / 10.📝Evaluation Methods
- LLMOps - Operations and lifecycle management for LLM systems
Tools / 11.🧠Research & Surveys
- LLM Surveys - Academic surveys and systematic reviews