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SuperSonic is the next-generation AI+BI platform that unifies Chat BI (powered by LLM) and Headless BI (powered by semantic layer) paradigms. - tencentmusic/supersonic
在使用 SemanticKernel 时,我着迷于 SemanticKernel 强大的 plan 能力,通过 plan 功能可以让 AI 自动调度拼装多个模块实现复杂的功能。我特别好奇 SemanticKernel 里的 planner 的原理,好奇底层具体是如何实现的。好在 SemanticKernel 是完全开源的,通过阅读源代码,我理解了 SemanticKernel 的工作机制,接下来我将和大家...
使用C#构建一个同时问多个LLM并总结的小工具05-08 收起 前言 本文通过Codeblaze.SemanticKernel这个项目,学习如何实现ITextEmbeddingGenerationService接口,接入本地嵌入模型。 项目地址:https://github.com/BLaZeKiLL/Codeblaze.SemanticKernel 实践 SemanticKernel初看以为只支持OpenAI的各种模型,但其实也提供了强大的抽象...
特殊之处在于,Semantic Kernel通过允许定义和链式调用插件,能够自动调度并组合这些AI模型。其功能是,用户可以向LLM提出个性化目标,由Semantic Kernel的规划器生成实现目标的计划,然后由系统自动执行这份计划。 硅基流动介绍 硅基流动致力于打造大模型时代的AI基础设施,通过算法、系统和硬件的协同创新,跨数量级降低大模型...
The complete source code for the connector is located in the GitHub repository FreeMindLabs.KernelMemory.Elasticse... Semantic KernelSamplesVector Database Aug 16, 2023 Post comments count0 Post likes count1 GUEST POST: Semantic Kernel and Weaviate: Orchestrating interactions around LLMs with ...
Yesterday’s and today’s Ignite sessions have been jam packed with updates. From new AI infrastructure to the new Copilot Studio, Microsoft has had a lot to share! At the center of it all, however, is still AI Orchestration: the layer that uses AI to retrieve data, call functions,...
In order to abide by the context window of theLLM, we usually break text into smaller parts / pieces which is called chunking. 为了遵守 LLM 的上下文窗口,我们通常将文本分成更小的部分/片段,这称为分块。 What is RAG? 什么是RAG? LLMs, although capable of generating text that is both meaning...
tools, in other more complex scenarios, the AI orchestrator come in and make the process easier.At the center ofLLMapplicationsis the AI orchestration layer that allows developers to build their own Copilot experiences, and in this layer, developer tools come into play to simplify your...
caffe/net_surgery.ipynb at master · BVLC/caffe · GitHub )就可以转变成FCN. 这里有个八卦是当年FCN得到CVPR'15 best paper honorable mention的时候, Yann LeCun等人出来吐槽这个'FCN'的概念早就有了,AlexNet里面的fully connected layer (FC)本身就是个误导,因为FC layer可以看成是1x1的convolution, 本来就...