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🧠✨ Testing GPT-4o’s Image Generation – From C# with ❤️ and Microsoft.Extensions.AI

Hi! OpenAI just dropped some exciting news:👉 GPT-4o can now generate images directly from prompts.Announced here: Introducing GPT-4o Image Generation, this new feature lets you go from words to stunning visuals – including photorealistic scenes, illustrations, logos, and more. The fun part? You can now generate images just by chatting with GPT-4o. The challenging part? If you’re a developer…

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Using Large Language Models with .NET: Generating Image Alt Text Automatically

Hi! The following post is generated using some super cool LLMs, and hey it’s also about LLMs 😁 Introduction In this blog post, we’ll explore a practical use case for LLMs: generating alt text for images automatically, ensuring your applications are more inclusive and accessible. By the end of this post, you’ll learn how to: Leverage Llama 3.2 Vision for image analysis. Implement the solution…

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CPU vs GPU: Which Wins for Running LLMs Locally?

Introduction Running large language models (LLMs) locally has become increasingly accessible, thanks to advancements in hardware and model optimization. For .NET programmers, understanding the performance differences between CPUs and GPUs is crucial to selecting the best setup for their use case. In this blog post, we’ll explore these differences by benchmarking the Llama 3.2 Vision model using…

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#RaspberryPi – 1st setup no monitor 📺: Wifi 📶 auto connect, SSH, rename, update, docker 🐳, rust and more! Update 2024-Apr-30

Latest version 2024-Apr-30 here Content Create SD card using Raspberry Pi Imager Configure Wireless connection (if needed) Enable SSH (if needed) Find the IP address in your network Access via SSH Change Password (if needed) Rename the device (if needed) Expand FileSystem Update the device Raspberry Pi Connect Install neofetch Install Docker Setup SSH password-less access to the…

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Build an AI Chat in .NET Aspire with Ollama. Quickstart Guide!

Hi! Here is a small intro to the .NET Aspire + Ollama scenario in this repo: https://aka.ms/netaiaspireollamachat. You can also learn more about this, in this 5-minutes overview video: Introduction to .NET Aspire and Ollama Have you ever thought, “Why can’t my .NET app have an AI chatbot that’s ridiculously easy to integrate?” Well, meet .NET Aspire and Ollama, two powerful tech pieces that…

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Full RAG scenario using #Phi3, #SemanticKernel and TextMemory in local mode

Hi! Today’s scenario is once again, using Phi-3. You know, a groundbreaking Small Language Model (SLM) that is redefining the capabilities of AI for developers and businesses alike. In this blog post, we will explore the importance of leveraging Phi-3 for full-scale scenarios and how you can test these scenarios for free using the Ollama C# Playground. The demo sceanrio below is designed to…

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Code Sample: Integrating Azure OpenAI with #SemanticKernel in .NET

Hi! Today I’ll try to expand a little the scenario described in this Semantic Kernel blog post: “Azure OpenAI On Your Data with Semantic Kernel“. The code below uses an GPT-4o model to support the chat and also is connected to Azure AI Search using SK. While runing this demo, you will notice the mentions to [doc1], [doc2] and more. Extending the original SK blog post, this sample shows at the…

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Sample Code using the new OpenAI library for .NET

Hi! The new OpenAI SDK for NET was officially announced, so today, let’s review the annoucement and show some sample code on how to use it. The current blog scenarios are Sample Chat demo Sample Audio to Text demo Sample Image analisis demo Here is a sample output for the chat demo! And yes, with a funny system message and questions about France! OpenAI SDK for .NET Microsoft Build 2024…

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Powering Up #NET Apps with #Phi-3 and #SemanticKernel

Hi! Introducing the Phi-3 Small Language Model Hi! Phi-3 is an amazing Small Language Model. And hey, it’s also an easy one to use in C#. I already wrote how to use it with ollama, now it’s time to hit the ONNX version. Introduction to Phi-3 Small Language Model The Phi-3 Small Language Model (SLM) represents a significant leap forward in the field of artificial intelligence. Developed by…

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#SemanticKernel and GPT-4o: Image analysis labs

Hi! Introduction to GPT-4o GPT-4o, developed by OpenAI, represents a significant leap forward in AI technology. Dubbed “omni” for its all-encompassing capabilities, GPT-4o is a multimodal model that can process and generate text, audio, and images.  It’s designed to facilitate more natural human-computer interactions, responding to audio inputs in as little as 232 milliseconds. This model is…

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Demo - API Manifest Plugins for Semantic Kernel

Hi! Today, it’s time to share some insights into the world of API Manifest Plugins for Semantic Kernel, these are a cool way to work with OpenAI’s Large Language Models (LLMs). Introduction to API Manifest Plugins for Semantic Kernel Semantic Kernel is at the forefront of AI development, allowing developers to import plugins from OpenAPI documents. However, importing entire OpenAPI documents…

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#SemanticKernel: Local LLMs Unleashed on #RaspberryPi 5

Hi! Welcome to the exciting world of local Large Language Models (LLMs) where we’re pushing the boundaries of what’s possible with AI. Today let’s talk about a cool topic: run models locally, especially on devices like the Raspberry Pi 5. Let’s dive into the future of AI, right in our own backyards. Ollama and using Open Source LLMs OLLAMA stands out as a platform that simplifies the process…

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#RaspberryPi – 1st setup no monitor 📺: Wifi 📶 auto connect, SSH, rename, update, docker 🐳, rust and more! Update 2023-Jan-04

Latest version 2024-Apr-30 here Content Create SD card using Raspberry Pi Imager Configure Wireless connection (if needed) Enable SSH (if needed) Find the IP address in your network Access via SSH Change Password (if needed) Rename the device (if needed) Expand FileSystem Update the device Install neofetch Install Docker Setup SSH password-less access to the Raspberry Pi Setup…

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🦙 Harnessing Local AI: Unleashing the Power of .NET Smart Components and Llama2

Hi! .NET Smart Components are an amazing example of how to use AI to enhace the user experience in something as popular as a combobox. .NET Smart Components also support the use of local LLMs, so in this post I’ll show how to configure thse components to use a local Llama 2 inference server. The following image, show the Smart TextArea doing completions with a local server, in the right we can…

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📎 Extending #SemanticKernel using OllamaSharp for chat and text completion

Hi! In previous posts I shared how to host and chat with a Llama 2 model hosted locally with Ollama. (view post). And then I also found OllamaSharp (nuget package and repo). OllamaSharp is a .NET binding for the Ollama API, making it easy to interact with Ollama using your favorite .NET languages. So, I decided to try it, and create a Chat Completion and a Text Generation specific…

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Don't miss the 2024 Azure Developers JavaScript Day!

Azure Developers JavaScript Day! Do you want to discover the latest services and features in Azure designed specifically for JavaScript developers? Are you looking for cutting-edge cloud development techniques that can save you time and money, while providing your customers with the best experience possible? Azure Developers JavaScript Day Event Banner  If yes, join us next week for a 2-Day…

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How to Use #SemanticKernel, Plugins – 2/N

Hi! In the previous posts we learned how to create a simple Semantic Kernel Chat Application Add services to the KernelBuilder, like Chat Build a Kernel Run a prompt with the Kernel Today we will switch a little the interaction with the AI Models, instead of a chat conversation, we will use Plugins. Plugins Let’s start with the PlugIn definition thanks to Microsoft Copilot: A plugin is a…