3. Research & Survey

• Finetuning
  • Pre-training and Post-training
  • Other Techniques and LLM Patterns

1. App & Agent

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

• Application
  • AI Application
  • Agent & Application
  • No Code & User Interface
  • Personal AI assistant & desktop
  • Infrastructure & Backend Services
  • Caching
  • Data Processing
  • Gateway
  • Memory

• Frameworks
  • Top Agent Frameworks
  • Orchestration Framework
  • LangChain
  • LlamaIndex
  • Semantic Kernel
  • DSPy

2. Azure OpenAI & Copilot

• 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

3. Research & Survey

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

• Prompting
  • Prompt Engineering and Visual Prompts

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

4. Tools, Datasets, and Evaluation

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

• Data
  • Datasets for LLM Training

• Evaluation
  • Evaluating Large Language Models
  • LLM Evalution Benchmarks
  • LLMOps: Large Language Model Operations

5. Best Practices

• Reference
  • Proposals & Glossary