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How GEN AI and LLM Chatbots Work with Enterprise Data
Learn how these advanced AI technologies enhance data integration, streamline operations, and drive business intelligence, providing innovative solutions for modern enterprises.
How Generative AI Can Benefit Software Developers?
GenAI is here to build software for developers. How you can benefit from it?
Understanding Generative Adversarial Networks (GANs)
Discover the basics of Generative Adversarial Networks (GANs) and their applications in generating realistic data, transforming images, and more in this beginner-friendly guide.
Creating a Smart Support AI Agent for Businesses
This guide covers the integration of AI technologies like natural language processing and machine learning to automate support tasks, improve user experience, and boost business efficiency.
How to configure Amazon Q in Visual Studio 2022
Discover how to set up Amazon Q, integrate it with your development environment, and streamline your workflow. This tutorial covers installation, configuration, and tips for optimizing your development process using Visual Studio 2022.
Amazon Bedrock Knowledge Base Query in .NET Console App
Learn to create a .NET console application using Visual Studio 2022 to query an Amazon Bedrock knowledge base. This guide demonstrates querying an Amazon S3 bucket for data, handling responses, and managing errors. Prerequisites include AWS CLI setup, .NET 8.0 SDK, and necessary IAM permissions.
AI capabilities before and after LLM: What is LLM?
This content delves into how LLMs have transformed machine learning and natural language processing, comparing pre-LLM AI advancements with the new benchmarks set by these powerful models.
Use a Guardrail with the Converse API in a .NET Console Application
Learn to develop a .NET console app using the Converse API with guardrails to block inappropriate content in Visual Studio 2022. This tutorial covers setting up AWS IAM permissions, installing the AWS CLI and .NET 8.0 SDK, and integrating the AWSSDK.BedrockRuntime.
Generate an image by invoking Amazon Titan Image on Amazon Bedrock using .NET console application
Generate an image using Amazon Titan Image on Amazon Bedrock with a .NET console application. Explore seamless integration of cloud services, leveraging AWS's robust infrastructure for efficient image processing.
Setup your personal ChatGPT for free
Generative AI is a transformative technology enabling solutions without needing extensive knowledge in developing, training, or deploying models. Open-source tools like Ollama and community contributions provide accessible ways to leverage powerful AI models cost-effectively, enhancing accessibility for everyone.
Tip To Improve The Response Time From LLM - OpenAI & Azure OpenAI
Explore the power of Semantic Kernel, enabling integration of large language models like AzureOpenAI and OpenAI into your applications. Leverage streaming responses for real-time interaction, reduced latency, and efficient resource usage.
The Emergence of Small Langugage Models (SLM) - A Game Changer
In this article, we will explore the significance and applications of small language models, examine the pros and cons of SLMs, and discuss the Phi-3 family along with its key features
Create Data Visualizations with Azure OpenAI Assistants
In today’s data-driven world, quickly generating and interpreting visual data representations is a game-changer. Azure OpenAI provides powerful tools to create custom AI assistants that make this process effortless.
Transforming your Ideas into Reality with GPT4o
Explore GPT-4o's multimodal capabilities on Azure, combining text, vision, and audio for diverse outputs. Features include real-time responses, multilingual support, and safety measures. Potential use cases span customer service, analytics, content creation, summarization, and code generation.
Retrieval-Augmented Generation (RAG) in Generative AI
This article delves into the challenges faced by LLM, the utilization of Retrieval Augmented Generation (RAG) patterns, the anatomy of RAG, various search types, and strategies for overcoming LLM obstacles.
Understanding Azure AI Studio Architecture
Explore AI Studio's architecture, including the AI Studio Hub and Project, built on Azure Machine Learning. AI Studio provides AI developers and data scientists with a seamless web portal, SDK, or CLI to create, assess, and deploy AI models, leveraging Azure's comprehensive features and services.
Discovering Azure AI Studio and its Capabilities
This article details the step-by-step process for creating an Azure AI Hub, setting up Azure AI projects, appropriate use of Azure AI Studio, and managing tasks within Azure AI Hub.
Getting Started With Azure AI Studio
Learn the core features of Azure AI Studio, including hubs, model and prompt catalogs, Azure OpenAI, AI services, resource management, and responsible AI practices.
Using Prompt Shield to Prevent Prompt Injection Attacks
Learn how Prompt Shields detects direct and indirect prompt injection attacks, including jailbreaks and malicious instructions embedded in external documents.
Overview of the Azure OpenAI Assistant API in a Nutshell
This article provides a guide to the Azure OpenAI Assistant API, covering its components, regional support, supported API versions, and available tools such as the Code Interpreter, function calling, and file searching.
Understanding the essence of Groundedness Detection with LLM
This article will help to detect "hallucinations" in LLM model outputs and understand the features of groundedness detection, usecases of groundedness detection, region and language support in a nutshell.
Safeguard Your LLM Against Jailbreak Detection
Protect your LLM from jailbreak detection by implementing robust security measures. Safeguard against vulnerabilities and employ anti-jailbreak techniques to ensure the integrity and confidentiality of your model's data.
Building a Custom Chatbot with Azure OpenAI & Your Data
Chatbots are becoming essential tools for businesses, enhancing customer service and automating various tasks. Ready-made chatbot solutions often fail to meet specific business needs, making it crucial to create a chatbot using your own data. Azure OpenAI offers a powerful platform to build custom chatbots by combining OpenAI's advanced language models with Microsoft Azure's robust infrastructure. This enables the creation of intelligent chatbots that understand and generate human-like text, tailored to your specific data for more accurate and relevant responses. In this article, we will guide you through building a chatbot with Azure OpenAI using your own data. From setting up your Azure account to training and deploying the chatbot, this guide will help you create a solution that perfectly fits your needs.
ShieldAI - Azure Powered Content Safety for Protected Material Detection
ShieldAI leverages Microsoft Azure's robust AI capabilities to ensure comprehensive content safety and protected material detection. This advanced system provides real-time monitoring and automated filtering, safeguarding digital content against unauthorized use and enhancing cybersecurity measures for sensitive information.
Create Your Custom Copilot And Integrate Into Teams
Create your custom Copilot for Teams, integrating code generation into chats. Utilize Microsoft Bot Framework for seamless integration, enabling code assistance within Teams conversations for enhanced productivity and collaboration.
Chat With Your CSV Data Using Azure OpenAI
This article walks you through all the steps required to query and chat with your CSV data and get response out of it using Azure OpenAI.
Using Open-Source Model With OpenAI Models
Housing is a fundamental human need, yet many face challenges accessing stable, safe accommodations. Issues like homelessness, affordability, and inadequate living conditions underscore the importance of addressing housing as a critical aspect of social welfare and urban development.
Medical Documentation with AI: Multi-Turn Chat App by Gemini 1.5 Pro
In the rapidly evolving landscape of healthcare, efficient and accurate documentation is paramount. Fortunately, advancements in artificial intelligence (AI) are offering solutions to streamline this process.
Unleash your Creativity with Azure OpenAI DALL-E 3
Explore the power of DALL-E 3 in Azure OpenAI Studio to unleash creativity. Learn about its features, safety measures, and deployment steps. Follow the guide to create stunning visual creations using Python code, ensuring ethical AI practices.
VMware Private AI Foundation with NVIDIA Now Available
VMware and NVIDIA collaborate on Private AI Foundation, leveraging VMware Cloud Foundation and NVIDIA AI Enterprise for secure, private Gen AI models.
