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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A curated collection of resources for 🌌 Azure OpenAI, 🦙 LLMs (+RAG, Agents). Monthly Updates.
| Date | Stars |
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| 2026-07-31 | 405 |
| 2026-08-04 | 405 |
| 2026-08-06 | 405 |
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# Azure OpenAI + LLM Wiki    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. <!-- > [!TIP] > A refined list focusing on Azure and Microsoft products. > Check [**_Awesome Azure OpenAI & Copilot_**](https://github.com/kimtth/awesome-azure-openai-copilot). --> ## 🧠Quick Navigation (Propedia-style) | Layer / Era | What it controls | Jump to sections | |-------------|----------------------------------------|-------------| | **Weights** <br/> 2022-2023 | Parametric knowledge baked into the model. <br/> `Themes: Pretraining, Scaling Laws, Fine-tuning, RLHF, Alignment, Instruction-following, Few-shot` | Foundations: [Large Language Model Landscape](section/models_research.md#large-language-model-landscape), [Large Language Model Collection](section/models_research.md#large-language-model-collection), [Foundation Model Providers](section/models_research.md#foundation-model-providers) <br/> Training: [Large Language Model Training and Optimization](section/models_research.md#large-language-model-training-and-optimization), [Model Training & Inference](section/azure.md#model-training--inference), [Training & Fine-tuning](section/applications.md#training--fine-tuning) <br/> Behavior and safety: [Trust, Safety, and Security](section/models_research.md#trust-safety-and-security), [Safety, Security & LLMOps](section/azure.md#safety-security--llmops) | | **Context** <br/> 2023-2024 | What the model sees at inference time. <br/> `Themes: Prompting, Chain-of-Thought, RAG, Memory, Long Context, Knowledge Injection, Context Engineering` | Prompting: [Prompt Engineering and Visual Prompts](section/models_research.md#prompt-engineering-and-visual-prompts), [Prompt Engineering & Tooling](section/azure.md#prompt-engineering--tooling) <br/> Retrieval: [RAG](section/applications.md#rag-retrieval-augmented-generation), [Azure AI Search](section/azure.md#azure-ai-search), [RAG Best Practices](section/best_practices.md#rag-best-practices) <br/> Memory and context windows: [Context and Long-Context Limits](section/models_research.md#context-and-long-context-limits), [Memory](section/applications.md#memory), [Data Processing & Memory](section/azure.md#data-processing--memory) | | **Harness** <br/> 2025-2026 | How the agent acts in the real world. <br/> `Themes: Function Calling, Tool Ecosystems, MCP, Skills, Workflow Graphs, Multi-agent, A2A protocols, Orchestration, Agent Infrastructure, Security` | Agent runtime: [AI Application](section/applications.md#ai-application), [Agent Frameworks](section/azure.md#agent-frameworks), [Agent Development](section/azure.md#agent-development), [Agent Best Practices](section/best_practices.md#agent-best-practices) <br/> Protocols and tools: [Agent Protocol](section/applications.md#agent-protocol), [Coding & Research](section/applications.md#coding--research), [Skills](section/applications.md#skills), [Harness](section/applications.md#harness), [Loop Engineering](section/applications.md#loop-engineering), [Dev Tools, MCP & Extensions](section/azure.md#dev-tools-mcp--extensions) <br/> Apps and operations: [Evaluating Large Language Models](section/tools_extra.md#evaluating-large-language-models), [LLMOps](section/tools_extra.md#llmops-large-language-model-operations), [Learning Resources & Workshops](section/az
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