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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...
在SemanticKernel中需要自己实现一些接口来使用Ollama的嵌入模型,但是经过搜索,我发现已经有大佬做了这个事,github地址:https://github.com/BLaZeKiLL/Codeblaze.SemanticKernel。 使用方法见:https://github.com/BLaZeKiLL/Codeblaze.SemanticKernel/tree/main/dotnet/Codeblaze.SemanticKernel.Connectors.Ollama 大佬实现了...
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,...
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...
Besides, the method of extracting deep features by layer-by-layer iterative computation using convolutional neural networks (CNNs) has achieved great success in image recognition. The paper proposes a method called DF-LDA, which is a hybrid supervised–unsupervised method combined CNNs with LDA to...