04.01. Use a function with multiple kernels– Today, semantic functions are tied 1-to-1 with a kernel. This means that whenever you create a new kernel, you need to reinitialize all your functions as well. As part of v1 we will be breaking this relationship. This will allow you to in...
Semantic Kernel (SK) 是由微软开发的一款开源开发工具包,旨在帮助开发者和企业利用最新的人工智能技术构建更智能和复杂的AI驱动解决方案,例如检索增强生成 (RAG) 和智能体 (Agent)。 核心概念内核(Kernel)您可以将SK的内核视为一个容器,该容器包含您所需的所有与AI相关的组件,如提示语模板、AI服务和插件。如果将...
Semantic Kernel is a new AI SDK, and a simple and yet powerful programming model that lets you add large language capabilities to your app in just a matter of minutes. It uses natural language prompting to create and execute semantic kernel AI tasks across multiple languages and platforms. In...
In my previous post, I used Phi-2 as the LLM to test with Semantic Kernel. Ollama allows us to use a different set of models, this time I decided to test Llama 2. Llama 2is a family oftransformer-based autoregressive causal language models. These models take a ...
Compare Semantic Kernel and LangChain. Contribute to formulahendry/semantic-kernel-vs-langchain development by creating an account on GitHub.
This article demonstrates how to integrate custom and local models into the Semantic Kernel SDK and use them for text generation and chat completions. You can adapt the steps to use them with any model that you can access, regardless of where or how you access it. For example, you can int...
deepglobe_fpn.pth \ --pretrained_refinement checkpoints/deepglobe_refinement.pth \ --num_classes 7 \ --sub_batch_size 1 \ --n_points 0.75 \ --n_patches -1 \ --smooth_kernel 11 \ --save_pred \ --save_dir test_results/deepglobe#or in short, run the script belowsh scripts/...
Once we're done, you'll have an Azure Function that exposes each of your plugin's native functions as HTTP endpoints so they can be used by Semantic KernelorChatGPT. If you want to see the final solution, you can check out the sample in the public documentation repository. ...
Guest Blog: Building Multi-Agent Systems with Multi-Models in Semantic Kernel – Part 1 Sophia, Arafat Today I want to welcome back Arafat Tehsin, who’s a Microsoft Most Valuable Professional (MVP) for AI. He’s written an article we’re sharing below, focused on Building Multi-Agent Sy...
Semantic Kernel (SK) 是由微软开发的一款开源开发工具包,旨在帮助开发者和企业利用最新的人工智能技术构建更智能和复杂的AI驱动解决方案,例如检索增强生成 (RAG) 和智能体 (Agent)。 核心概念内核(Kernel)您可以将SK的内核视为一个容器,该容器包含您所需的所有与AI相关的组件,如提示语模板、AI服务和插件。如果将...