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shizhl/Confucius

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48 स्टार्स·12 फोर्क्स·Python·7 व्यूज़arxiv.org/abs/2308.14034↗

Confucius

This project aims to teach large language models (LLMs) to use external tools, enabling them as agents to for practical task planning and tool calling. To achieve this, we propose the "Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum". Here is the brief…

Features

  • Agent Tool Learning - Implements iterative tool learning via introspection feedback.
  • Tool Optimization - Iterative tool learning using curriculum-based feedback.

स्टार हिस्ट्री

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अपनी ज़रूरत को सरल भाषा में बताएं — AI हजारों क्यूरेटेड ओपन-सोर्स प्रोजेक्ट्स को प्रासंगिकता के आधार पर रैंक करता है।

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Confucius के ओपन-सोर्स विकल्प

समान ओपन-सोर्स प्रोजेक्ट्स, जो Confucius के साथ साझा की गई सुविधाओं के आधार पर रैंक किए गए हैं।
  • microsoft/jarvismicrosoft का अवतार

    microsoft/JARVIS

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    JARVIS is a system for large language model task orchestration, deployment management, and automation benchmarking. It utilizes a task orchestrator to decompose complex requests into actionable steps and coordinates various expert models to synthesize final responses. The project includes an AI model deployment manager to handle the local deployment of expert models across different hardware scales. It further provides an AI workflow API consisting of web endpoints used to trigger automated task workflows and retrieve results from model selection stages. The framework incorporates an automat

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    OpenBMB/ToolBench

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    ToolBench is an open platform for training, serving, and evaluating large language models that retrieve and call real-world APIs to complete user instructions. It provides an API-aware inference engine that selects relevant tools from a large corpus and generates sequences of tool calls to produce final answers, along with a custom API registration system that lets users add their own REST endpoints for the model to discover and invoke. The platform includes a complete instruction-tuning pipeline for training models on curated tool-use data, a multi-tool execution engine that coordinates sequ

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  • charlesq9/alitaCharlesQ9 का अवतार

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    The GAIA game is over, and Alita is the final answer.

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Confucius के सभी 27 विकल्प देखें→

अक्सर पूछे जाने वाले प्रश्न

shizhl/confucius क्या करता है?

This project aims to teach large language models (LLMs) to use external tools, enabling them as agents to for practical task planning and tool calling. To achieve this, we propose the "Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum". Here is the brief…

shizhl/confucius की मुख्य विशेषताएं क्या हैं?

shizhl/confucius की मुख्य विशेषताएं हैं: Agent Tool Learning, Tool Optimization।

shizhl/confucius के कुछ ओपन-सोर्स विकल्प क्या हैं?

shizhl/confucius के ओपन-सोर्स विकल्पों में शामिल हैं: openbmb/toolbench — ToolBench is an open platform for training, serving, and evaluating large language models that retrieve and call… microsoft/jarvis — JARVIS is a system for large language model task orchestration, deployment management, and automation benchmarking. It… ailab-cvc/gpt4tools — GPT4Tools is an intelligent system that can automatically decide, control, and utilize different visual foundation… charlesq9/alita — The GAIA game is over, and Alita is the final answer. lifan-yuan/craft — Code for paper "CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets". clova-tool/clova-tool — Zhi Gao, Yuntao Du, Xintong Zhang, Xiaojian Ma, Wenjuan Han, Song-Chun Zhu, Qing Li.