- Azure OpenAI Documentation – Further information relating to the Azure OpenAI service
- OpenAI Cookbook – A great source of material and examples relating to the OpenAI API.
- Introduction to Azure OpenAI Service - Training | Microsoft Learn
- Quickstart - Deploy a model and generate text using Azure OpenAI Service - Azure OpenAI | Microsoft Learn
- retkowsky/Azure-OpenAI-demos: Azure Open AI (demos, documentation, accelerators) (github.com)
- GitHub - Azure-Samples/chat-with-your-data-solution-accelerator: A Solution Accelerator for the RAG pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
- Microsoft Azure AI Fundamentals: Generative AI - Training | Microsoft Learn
- Develop Generative AI solutions with Azure OpenAI Service - Training | Microsoft Learn
- Apply prompt engineering with Azure OpenAI Service - Training | Microsoft Learn
- Implement Retrieval Augmented Generation (RAG) with Azure OpenAI Service - Training | Microsoft Learn
- This is a long list of both Microsoft and community-contributed accelerators leverage OpenAI and can help accelerate Proof of Concepts
- Azure-Samples/chat-with-your-data-solution-accelerator: A Solution Accelerator for the RAG pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences. This includes most common requirements and best practices. (github.com)
- Overview / Azure OpenAI MS techcommunity build-a-chatbot-using-langchain and Azure OpenAI
- Getting started Introduction | 🦜️🔗 Langchain
- LangChain – Official Github hwchase17/langchain: ⚡ Building applications with LLMs through composability ⚡(github.com)
- Video content YouTube tutorials | 🦜️🔗 Langchain
- Langchain Course{Free} https://learn.deeplearning.ai/langchain (Andrew Ng)
- What is Semantic Kernel (SK) https://learn.microsoft.com/en-us/semantic-kernel/overview/
- Official Github repo microsoft/semantic-kernel: Integrate cutting-edge LLM technology quickly and easily into your apps (github.com)
- Build 2023 session - Building AI solutions with Semantic Kernel
- Prompt Flow Article https://aka.ms/prompt_flow_blog
- What are flows in Azure Machine Learning prompt flow (preview) - Azure Machine Learning | Microsoft Learn
- Image Embeddings generation CLIP / Florence
- Azure Florence -
Microsoft Research – Large Vision Model created by Microsoft
- Forms Recognizer (PDF & Forms to text) - What is Azure Form Recognizer? - Azure Applied AI Services | Microsoft Learn
- Cognitive Search
- Semantic search - Azure Cognitive Search | Microsoft Learn
- Github The official documentation and code samples for the Vector search feature (preview)
- Speech & Voice
- Speech to text overview - Speech service - Azure Cognitive Services | Microsoft Learn
- Text to speech overview - Speech service - Azure Cognitive Services | Microsoft Learn
- Introducing Whisper https://openai.com/blog/whisper
- Introduction to RAG Patterns (by Microsoft CTO): The era of the AI Copilot | KEY02H - YouTube
- Building AI Applications with Semantic Kernel: Building AI solutions with Semantic Kernel | BRK217H - YouTube
- Vectorization Strategies: https://www.youtube.com/watch?v=lSzc1MJktAo&t=0
- End-to-End AI App Development (Process of building an AI application): End-to-End AI App Development: Prompt Engineering to LLMOps | BRK203 - YouTube
- Build Copilots with AI Studio: Build your own Copilot with Azure AI Studio | BRK201HG (youtube.com)
- Generally, I like the Microsoft Mechanics Series, which keeps you up to date with the latest news: Microsoft Mechanics - YouTube
Certifications in the field of AI: