Work with a runnable version of this tutorial as aPython notebook. Background Semantic Kernel is an open-source SDK that allows you to combine various AI services and plugins with your applications. You can use
For Semantic Kernel users, integrating xAI’s Grok API using the OpenAI connector is a breeze thanks to its compatibility with OpenAI’s API format. This tutorial focuses on setting up Grok in your Semantic Kernel projects with minimal fuss, using C# and Python examples. Why Grok? Grok, built...
For Semantic Kernel users, integrating xAI's Grok API using the OpenAI connector is a breeze thanks to its compatibility with OpenAI's API format. This tutorial focuses on setting up Grok in your Semantic Kernel projects with minimal fuss, using C# and Python examples. Why Grok? Grok, built...
Semantic Kernel is an open-source AI framework created by Microsoft for .NET, Python, and Java developers working with Large Language Models (LLMs). When you build an AI agent with Semantic Kernel, an LLM interprets user input and generates a response. The AI agent often struggles when it...
[29]课程链接:https://www.classcentral.com/classroom/youtube-autogen-build-powerful-ai-agents-with-chatgpt-gpt-4-python-tutorial-for-cryptocurrency-analysis-260455 [30]IMemoryDB:https://github.com/microsoft/kernel-memory/blob/main/service/Abstractions/MemoryStorage/IMemoryDb.cs ...
In Semantic Kernel, we could create a string that does just that with the following code:C# Python C# 複製 Write("Your request: "); string request = ReadLine()!; string prompt = $"What is the intent of this request? {request}"; ...
Let’s have a look on the Python code ( Available in Git Hub ) snippet, which shows the connector and the prompt manufacturing : kernel=sk.Kernel()#kernel.add_chat_service(fromsemantic_kernel.connectors.ai.open_aiimportAzureChatCompletion#deployment, api_key, endpoint = sk.azure_open...
tutorial:https://derwen.ai/docs/kgl/tutorial/ features: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries perspective: there are several "camps" of graph technologies, with little discussion between them ...
Semantic Kernel:Plugins 插件是Semantic Kernel的核心组件。通过插件,你可以将现有的API封装成一个集合,供AI调用,从而赋予AI原本无法执行的操作能力。 在背后,Semantic Kernel利用了最新大型语言模型(LLM)中的原生功能——Function Calling,来帮助LLM进行规划并调用API。通过函数调用,LLM可以请求特定函数的执行。Semantic...
网络变压器 This is a technical tutorial on how to set up and addsemanticsearch via transformers as an Elasticsearch index. We go through all steps needed and will introduce the utility class ElasticTran semantic chunk 网络 python java linux ...