Awesome Azure OpenAI + LLM
A comprehensive, curated collection of resources for Azure OpenAI, Large Language Models (LLMs), and their applications.
🔹Concise Summaries: Each resource is briefly described for quick understanding
🔹Chronological Organization: Resources appended with date (first commit, publication, or paper release)
🔹Monthly Updates: The list is updated monthly; candidate entries before the update are tracked in the issue.
🧭 Quick Navigation (Propedia-style)
| Layer / Era |
What it controls |
Jump to sections |
Weights
2022-2023 |
Parametric knowledge baked into the model.
Themes: Pretraining, Scaling Laws, Fine-tuning, RLHF, Alignment, Instruction-following, Few-shot |
Foundations: Landscape, Comparison, Evolutionary Tree, LLM Collection
Training: Finetuning, Other Techniques and LLM Patterns, Training & Fine-tuning
Behavior and safety: Trustworthy, Safe and Secure LLM, Abilities, Reasoning, Orchestration Frameworks |
Context
2023-2024 |
What the model sees at inference time.
Themes: Prompting, Chain-of-Thought, RAG, Memory, Long Context, Knowledge Injection, Context Engineering |
Prompting: Prompt Engineering and Visual Prompts, Prompt Engineering & Tooling
Retrieval: RAG, Advanced RAG, GraphRAG, RAG Application, Vector Database & Embedding, Azure AI Search
Memory and context windows: Memory, Context Constraints, Caching, RAG Solution Design, RAG Research |
Harness
2025-2026 |
How the agent acts in the real world.
Themes: Function Calling, Tool Ecosystems, MCP, Skills, Workflow Graphs, Multi-agent, A2A protocols, Orchestration, Agent Infrastructure, Security |
Agent runtime: Top Agent Frameworks, Orchestration Framework, Frameworks / SDKs, Agent Frameworks, Agent Development
Protocols and tools: Model Context Protocol (MCP), A2A, Computer use, Skill, Harness, Dev Tools, MCP & Extensions, Coding
Ops and governance: Apps / Ready-to-use Agents, General AI Tools and Extensions, Evaluating Large Language Models, LLM Evalution Benchmarks, LLMOps, Agent Design Patterns, Agent Research, Reflection, Tool Use, Planning and Multi-agent collaboration, Proposals & Glossary |
Refereces: DailyDoseOfDS - Evolution of the Agent Landscape
1. App & Agent
🚀 RAG Systems, LLM Applications, Agents, Frameworks & Orchestration
- RAG
- Application
- Agent Protocols
- Coding & Research
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2. Azure OpenAI & Copilot
🌌 Microsoft's Cloud-Based AI Platform and Services
- Overview
- Frameworks
- Tooling
- Products
- Services
- Research
- Applications
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3. Research & Survey
🧠 LLM Landscape, Prompt Engineering, Finetuning, Challenges & Surveys
- Landscape
- Prompting
- Finetuning
- Challenges
- Products & Impact
- Survey & Build
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4. Tools, Datasets, and Evaluation
🛠️ AI Tools, Training Data, Datasets & Evaluation Methods
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5. Best Practices
📋 Curated Blogs, Patterns, and Implementation Guidelines
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📖 Legend & Notation
| Symbol |
Meaning |
Symbol |
Meaning |
| ✍️ |
Blog post / Documentation |
 |
GitHub repository |
| 🗄️ |
Archived files |
💡🏆 |
Recommend |
| 🗣️ |
Source citation |
📺 |
Video content |
| 📑 |
Academic paper |
🤗 |
Huggingface |
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