Harness the power of Large Language Models with Azure Machine Learning prompt flow
Unlock the full potential of your AI solutions with our latest blog on prompt flow! Discover how to effectively assess and refine your prompts and flows, leading to production-ready, impactful LLM-infused applications. Don't miss out on these game-changing insights!An Enterprise Design for Azure Machine Learning - An Architect's Viewpoint
This article provides an opinionated design for an enterprise-level data science capability, implemented within an Azure data platform. The guidance provides a starting point for the design of an ML platform that fits your business requirements.
Azure Open AI (GPT) with Power Apps - Build a Power App to create Demo or Personal Knowledge Bot
Let's build a power app with open ai to create a personal knowledge assistant and or also to show demo. App allows users to increase productivity by gaining knowledge by asking questions and other features like Summarization, Code generation, Email Content, Blob post content, twitter content.A Guide to Optimizing Performance and Saving Cost of your Machine Learning (ML) Service - Part 1
This is a multi-part blog series that will teach you how to optimize your machine learning model service and save money. Tuning the performance of your Azure Machine Learning endpoint will help you make better use of your Azure Machine Learning resources, reduce costs, and increase throughput.Leveraging phi-3 for an Enhanced Semantic Cache in RAG Applications
Improve RAG Responses with phi-3: Discover how phi-3, a Small Language Model (SLM) from Microsoft, transforms repetitive responses from semantic-cache into dynamic, contextually rich responses within Retrieval-Augmented Generation (RAG) applications. Explore our innovative approach to enhancing response diversity and efficiency while maintaining accuracy. Stay tuned for our upcoming blog that delves deep into this cutting-edge integration, promising to redefine the way AI interacts with users!Introducing Meta Llama 3 Models on Azure AI Model Catalog
Unveiling the next generation of Meta Llama models on Azure AI: Meta Llama 3 is here! With new capabilities, including improved reasoning and Azure AI Studio integrations, Microsoft and Meta are pushing the frontiers of innovation. Dive into enhanced contextual understanding, tokenizer efficiency and a diverse model ecosystem—ready for you to build and deploy generative AI models and applications across your organization. Explore Meta Llama 3 now through Azure AI Models as a Service and Azure AI Model Catalog, where next generation models scale with Azure's trusted, sustainable and AI-optimized high-performance infrastructure.
