Mmmmm por ahora sólo alucina el acceso a los enlaces de Internet. Pero sí es un cambio que diga "hey sí, me puedo conectar". A lo mejor han actualizado su comportamiento para una futura nueva feature.
AGENTS
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Modern Tamagotchis: The Evolution of Interactive AI Agents
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Speaking of modern Tomagatchis! https://t.co/MOjJkpz7Bv
— Packy McCormick (@packyM) 22 février 2023Speaking of modern Tomagatchis!
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Bing performs multiple sequential searches from one prompt
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Example showing Bing can perform multiple sequential searches, with LLM response generation in between, from a single user prompt:
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Robots Learn Natural Language Communication and Real-World Skills
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Part 6 in the series is out, discussing our work in robotics, especially allowing robots & humans to communicate naturally via language, apply common sense knowledge in real-world situations & increasing the number of low-level skills robots can perform.
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Building High-Synergy Agent Formations and Optimal Puzzle Solutions
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The authors divide this problem into 2 subproblems: 1/ Building formations with high synergy 2/ Solve puzzles in a near-optimal way
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Bing and Microsoft’s Copilot for Web Vision
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Bing is great. Microsoft/Satya was the first to announce the "copilot for the web" vision.
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Can Language Models Achieve Human-Level Intelligence?
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Do you think a language model might reach human-level intelligence? Today's talk from @LauraRuis of @UCL_DARK at our London office prompted some intriguing discussion on how outward expression of internal beliefs can make coherent language. What are your thoughts?
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Real-Time AI Integration For Core Business Operations
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Bringing Real-Time AI To The Core Of Your Business https://
x.com/i/broadcasts/1
kvJpmnZEwbxE
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Building Chatbot Applications with LangChain AI Framework
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Chatbot is one such example of Lang Chain AI and the applications are endless. For a detailed explanation and to build more such applications with Langchain, check out the source code and docs Source Code – http://
github.com/steamship-core
/steamship-langchain/tree/main/examples/chatbot
… Docs: https://
steamship.com/build/langchai
n-apps
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Flask endpoints for chatbot customization and message handling
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Add Flask-style endpoints and customize the bot by defining the chain. Below you can see two endpoints 1. To generate a Response for a Text – "send_message" 2. To give the full chat history – "transcript" Similarly add endpoints for your usecases. Server-side code: