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How AI and GenAI Are Transforming Professional Learning and Skill Development
Discover how AI and generative AI (GenAI) are revolutionizing professional learning by enabling personalized content, real-time feedback, and smarter career guidance. Learn how to stay ahead with AI-powered tools and assistants.
Create Amazon Bedrock Knowledge Base with Kendra GenAI Index
Learn how to enhance enterprise search by connecting Amazon Bedrock Knowledge Bases with the Kendra GenAI index to enable AI-powered conversations, smarter document querying, and better SharePoint data access.
Create an Amazon Kendra Gen AI index with OneDrive
Learn how to create and configure an Amazon Kendra GenAI index using Microsoft OneDrive as a data source to enable powerful LLM-based semantic search with natural language understanding and precise results.
Create an Amazon Bedrock Knowledge Base with Microsoft Teams Data
In this article, you will learn how to create and configure Amazon Bedrock Knowledge Base to connect to Microsoft Teams data.
Create an Amazon Bedrock Knowledge Base with Kendra GenAI Index
Integrating Amazon Bedrock Knowledge Bases with an Amazon Kendra GenAI index enables AI-driven enterprise search, transforming document queries into interactive conversations with contextually relevant answers and source citations.
Create an Amazon Kendra GenAI Index with SharePoint Online
In this article, you will learn how to create and configure an Amazon Kendra GenAI index using SharePoint Online as a data source.
Build Responsible AI with Amazon Bedrock Guardrails and .NET
In this article, you will learn to implement the Amazon Bedrock ApplyGuardrail API in a .NET console application to validate content and ensure compliance with responsible AI policies.
Build Dynamic AI Workflows with Lambda and Bedrock Prompt Flow
This article shows you how to integrate AWS Lambda with Amazon Bedrock Prompt Flow to create an intelligent data retrieval and processing system. This solution helps you automate data processing and generate user-friendly summaries, improving efficiency and user experience.
Automate Knowledge Retrieval from SharePoint Using Amazon Bedrock Prompt Flow
In this article, you will learn how to build an Amazon Bedrock Prompt Flow to automate the retrieval and summarization of content from SharePoint Online using the AWS CLI.
How to Invoke Amazon Bedrock Flow Using C#
This article walks you through setting up Bedrock, integrating it with C#, and making API calls to invoke AI models. Perfect for developers looking to leverage AWS AI services in .NET applications.
Automate Prompt Flow Creation in Amazon Bedrock Using .NET
In this article, you’ll learn how to automate the creation of a flow with a single prompt in Amazon Bedrock using the .NET console application.
Running DeepSeek-R1 Locally Using Ollama and Open WebUI in Docker
This article covers step-by-step instructions for setting up Docker, deploying DeepSeek-R1, and using Open WebUI for easy interaction, all while leveraging Ollama for efficient management of your AI model.
Automate Prompt Flow Creation in Amazon Bedrock Using AWS CLI
Learn how to automate AI workflow creation in Amazon Bedrock using AWS CLI. Set up IAM roles, define prompt flows, and integrate AWS services like Lambda and S3. Follow step-by-step commands to deploy and test your AI-powered flow.
Create a Gen AI App Using DeepSeek-R1 model With Langchain And Ollama
Create a Gen AI App Using the DeepSeek-R1 model With Langchain And Ollama. This article guides you in building a GenAI app using DeepSeek-R1, Langchain, and Ollama. It covers installation, model setup, prompt chaining, and real-time AI response generation with Streamlit UI integration.
Are we doomed to be STUPID ?!!
Examines how generative AI is changing information retrieval, content creation, and critical thinking, including the risks of overreliance and misinformation.
Create an Amazon Bedrock Knowledge Base with SharePoint Online
Learn how to create and configure an Amazon Bedrock Knowledge Base using SharePoint Online as a data source. Set up authentication, sync data, and validate responses to generate accurate answers with citations.
How to Use Google Gemini with Semantic Kernel
Learn how to configure Google Gemini chat completion in a C# .NET application using Microsoft Semantic Kernel and the Google connector package.
Implementing Responsible AI using Python
This article covers Python libraries, frameworks, and techniques for building AI models that prioritize accountability, explainability, and compliance with AI governance standards.
Clone Your Voice Using Open-Source LLM
Learn how to clone your voice using open-source large language models (LLMs). This guide explores cutting-edge AI tools for voice synthesis, allowing you to create realistic voice replicas.
Using New Generative AI Unified Approach by Microsoft
In this article, we will learn about the Microsoft.Extensions.AI package that is intended to unify and standardize generative AI in .NET
Mastering SQL Query Generation with Azure OpenAI
Learn how to use Azure OpenAI and Azure SQL Database to generate SQL queries from natural-language prompts, including setup, authentication, prompt construction, and API calls.
Creating an AI Language Translator Using Tkinter
In this guide, you'll learn how to build an AI-powered language translator using Python's Tkinter library. We'll combine natural language processing (NLP) with a simple graphical user interface (GUI) to create a real-time translation tool.
Vector Database Internals: In a Layman's Perspective
A vector database stores and manages data as vectors—lists of numbers representing features of items. It excels in handling unstructured data like images and text by using vector embeddings generated by AI. This allows for efficient similarity searches, real-time analysis, and scalable performance.
Prompt Management in Amazon Bedrock using .NET Console App
Learn to create and manage prompts in Amazon Bedrock using a .NET console application. This guide covers setting up your environment with AWS CLI and Visual Studio, and using the AWSSDK.BedrockAgent package to create, list, get, version, and delete prompts. Essential for effective prompt management.
Transformer and Hallucinations in Simple Language
Imagine a language model as a clever bird that creates new sentences from patterns it learned, not by recalling facts. It generates text by guessing the next word based on its training. While it produces realistic-sounding stories, it can sometimes create inaccurate or fictional information.
Stream Conversations with Amazon Bedrock API in .NET Console App
Learn how to create a .NET console application that streams conversations using the Amazon Bedrock Converse API with the Anthropic Claude 3 Sonnet model. This guide covers setting up your AWS environment, configuring Visual Studio, and using the AWS SDK to handle streaming conversations and model responses.
How Generative AI is Changing the Gaming Industry
Generative AI is revolutionizing the gaming industry by enhancing game development and creating more dynamic, personalized player experiences. This technology enables the creation of vast, ever-changing environments, dynamic storytelling, and AI-driven design, pushing the boundaries of what's possible in gaming.
Creating a Conversational App with Amazon Bedrock and .NET
This guide covers integrating AI models, leveraging cloud services, and implementing natural language processing to build intelligent chatbots and enhance user interactions.
Build Image Description Service with Amazon Bedrock and .NET App
Learn how to use the Amazon Bedrock Converse API with the Anthropic Claude 3 Sonnet model to send an image and receive a description. This guide covers setting up a .NET 8.0 console app in Visual Studio 2022, configuring AWS CLI, and using AWSSDK.BedrockRuntime to interact with the API.
Conversation with document using Amazon Bedrock and .NET
In this article, you'll learn how to send a document as part of a message using the Amazon Bedrock Converse API with the Anthropic Claude 3 Sonnet model and requests that the model describe the contents of the document.
