Is this just Anthropic's version of what OpenAI did with ai-plugin.json and plug-ins a while back? Or am I missing something?
GENERATIVE AI
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Researcher Returns to Google DeepMind for AI and LLM Research
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Personal / life update: I have returned to @GoogleDeepMind to work on AI & LLM research. It was an exciting 1.5 years at @RekaAILabs and I truly learned a lot from this pretty novel experience. I wrote a short note about my experiences and transition on my personal blog here
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Using Claude to Learn MCP from Documentation
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Feed all the docs into Claude as a plain text file and have Claude teach you about MCP: https://
modelcontextprotocol.io/llms-full.txt -
Claude adds desktop app support via MCP
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BREAKING 🚨: Claude got MCP support for desktop apps! Developers can use it to allow Claude to interact with local apps through "Model Context Protocol" 👀 https://t.co/AJWjAHvMjq pic.twitter.com/eP5JnhZYLx
— 🚨 AI News | TestingCatalog (@testingcatalog) 25 novembre 2024BREAKING : Claude got MCP support for desktop apps! Developers can use it to allow Claude to interact with local apps through "Model Context Protocol"
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New Open-Source Python Package Simplifies LLM Integration
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Announcing new open-source Python package: aisuite! This makes it easy for developers to use large language models from multiple providers. When building applications I found it a hassle to integrate with multiple providers. Aisuite lets you pick a "provider:model" just by
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MCP Servers: Beyond Data Sharing Tools and Prompts
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An MCP server shares more than just data as well. In addition to resources (files, docs, data), they can expose:
– Tools (API integrations, actions)
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Claude Desktop MCP Integration Demo: GitHub Repository and Pull Request Creation
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Here's a quick demo using the Claude desktop app, where we've configured MCP:
— Alex Albert (@alexalbert__) 25 novembre 2024
Watch Claude connect directly to GitHub, create a new repo, and make a PR through a simple MCP integration.
Once MCP was set up in Claude desktop, building this integration took less than an hour. pic.twitter.com/xseX89Z2PDHere's a quick demo using the Claude desktop app, where we've configured MCP: Watch Claude connect directly to GitHub, create a new repo, and make a PR through a simple MCP integration. Once MCP was set up in Claude desktop, building this integration took less than an hour.
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Anthropic Introduces Model Context Protocol for LLM Data Integration
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Introducing the Model Context Protocol (MCP) An open standard we've been working on at Anthropic that solves a core challenge with LLM apps – connecting them to your data. No more building custom integrations for every data source. MCP provides one protocol to connect them all:
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LLM Classification Methods: Accuracy and Judge-Based Evaluation
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sry thanks for following up! for classification: id do accuracy, that should be pretty straightforward. if that doesnt work would be curious to hear more! second is harder, but id use LLM-as-a-judge. you can define either a ground truth example to compare with, or just
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SambaNova Cloud Empowers Developers at Every AI Journey Stage
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We wanted you to hear from the team that made SambaNova Cloud possible 📣
— SambaNova (@SambaNovaAI) 25 novembre 2024
Our Director of Solutions Engineering, @ro_mattern, shares why she's excited about being able to reach #Devs at every stage of their #AI journey. 🎥
Start developing today ⤵️We wanted you to hear from the team that made SambaNova Cloud possible Our Director of Solutions Engineering, @ro_mattern
, shares why she's excited about being able to reach #Devs at every stage of their #AI journey. Start developing today