Artificial Intelligence

Technical articles about Microsoft’s artificial intelligence services. Read about Azure AI topics such as their Bot Framework, Cognitive Services, and Machine Learning. Learn how to use tools such as Java, Python, Jupyter Notebooks, Visual Studio Code, along with open-source frameworks like TensorFlow and PyTorch.

Visionary Disruption: High-level Insights with Azure Video Indexer & GPT-4 Turbo with Vision

Figure 1 Generated with Azure OpenAI Dall-E 3 Video analysis combined with cutting-edge natural language processing (NLP) technologies have created new opportunities for innovation in today’s fast-changing digital environment. Here are some ideas for impactful integration between Azure AI Video Indexer (VI) and GPT-4 Turbo with Vision. These suggestions are aimed at enhancing video analysis […]

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Intelligent Load Balancing with APIM for OpenAI: Weight-Based Routing

Ever Since launch of ChatGPT, demand for OpenAI GPT Models has increased exponentially.Due such vast demand in short span of time, it’s been challenging for customer to get their desired capacity in their respective region. In that case my recommendation has been to deploy multiple OpenAI instance with S0 plan(Token-based-consumption Each OpenAI Models has its own

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Extend Power of AutoGen with Promptflow

Multi-agent framework is the next evolution of single agent chat bots and RAG (Retrieval Augmented Generation) applications. The Autogen framework is currently the most popular for multi-agent use cases. Promptflow is a tool that simplifies the process of building, evaluating, and deploying Language Learning Model (LLM) applications. This blog will guide you on how to

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An Enterprise Design for Azure Machine Learning – An Architect’s Viewpoint

1. Problem Statement Many Organisations want to create enterprise data science capability. The goals can include unlocking value from their data assets, reducing cost, and driving customer engagement. While many organisations have an initial capability, challenges can arise while “scaling and industrialization” into an enterprise service. This Point-of-view provides an opinionated design for a “fit

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Unlocking Advanced Document Insights with Azure AI Document Intelligence

In the digital age, extracting insights from diverse documents is challenging due to their complex structure. Consider a financial analyst reviewing a company’s quarterly report, which includes detailed tables of operating expenses, revenue, and charts depicting sales growth. Traditional document processing solutions often fall short in understanding the nuanced hierarchy of document structures and the contextual

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How to Customize an LLM: A Deep Dive to Tailoring an LLM for Your Business

Introduction    In the world of large language models, model customization is key. It’s what transforms a standard model into a powerful tool tailored to your business needs.  Let’s explore three techniques to customize a Large Language Model (LLM) for your organization: prompt engineering, retrieval augmented generation (RAG), and fine-tuning.  In this blog you will learn

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Leveraging Cohere Embed V3 int8 embeddings with Azure AI Search

Last week, we announced our partnership with Cohere, enabling customers to easily leverage Cohere models via Azure AI Studio Model Catalog, including Cohere’s latest LLM – Command R+. Today, we are thrilled to announce that you can store and search over Cohere‘s latest Embed V3 int8 embeddings using Azure AI Search. This capability offers significant

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Azure Cosmos DB Conf 2024: A Deep Dive for Developers and AI Enthusiasts

What Makes This Conference Special? This free event goes beyond your typical developer conference. Here is why you should mark your calendars: A Celebration of Innovation: Forget dry lectures! Azure Cosmos DB Conf is a vibrant community event where developers and Microsoft experts come together to explore the cutting edge. Expect insightful talks that showcase the latest advancements in

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Building a Document Intelligence Custom Classification Model with the Python SDK

  Introduction: In the world of document processing and automation, one of the most frequent use cases is categorizing and organizing documents into predefined classes. For instance, an organization may have a process that ingests documents that then need to be classified into separate categories such as “invoices”, “contracts”, “reports”, etc. Azure AI Document Intelligence

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Securing Azure OpenAI Usage with Azure Functions and Managed Identities: a Step-by-Step Guide

Context The Azure OpenAI Service provides REST API access to OpenAI’s advanced language models, including GPT-4, GPT-4 Turbo with Vision, GPT-3.5-Turbo, and the series of Embeddings models. These state-of-the-art models are highly adaptable and can be tailored to a variety of tasks such as generating content, summarizing information, interpreting images, enhancing semantic search, and converting

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