kimtth/awesome-azure-openai-llm — A curated list of resources for building with Azure Ope

Awesome Azure OpenAI + LLM

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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

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Awesome Azure OpenAI + LLM

🧭 Quick Navigation (Propedia-style)

1. App & Agent