In the ever-evolving world of artificial intelligence, combining powerful tools can open up new avenues for innovation and efficiency. Today, we're diving into how to use Google Gemini with Semantic Kernel —a match made in AI heaven. Whether you're an AI enthusiast, developer, or data scientist, this guide will walk you through the integration process step-by-step, ensuring you harness the full potential of these technologies. If you're more interested in watching the entire process, then here is the video: What is Google Gemini? Google Gemini is a suite of generative AI models designed to handle multiple types of data, including text, images, and audio. Its multimodal capabilities make it a versatile tool for a wide range of applications, from natural language processing to creative content generation. Introduction to Semantic Kernel Microsoft Semantic Kernel is an open-source development kit designed to help developers integrate AI models into their applications. It s...
This blog is all about my technical learnings pertaining to LLM, OpenAI, Azure OpenAI, C#, Azure, Python, AI, ML, Visual Studio Code and many more.