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StevenGrove avatar

StevenGrove/GPT4Tools

0
View on GitHub↗
771 stars·56 forks·Python·12 viewsgpt4tools.github.io↗

GPT4Tools

GPT4Tools is an intelligent system that can automatically decide, control, and utilize different visual foundation models, allowing the user to interact with images during a conversation.

Features

  • Agentic Visual Reasoning - Teaching language models to use tools via self-instruction.
  • Pre-training Datasets - Tool-use instruction datasets for language models.

Star history

Star history chart for stevengrove/gpt4toolsStar history chart for stevengrove/gpt4tools

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with GPT4Tools

These projects share indexed features with GPT4Tools. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • plexpt/chatgpt-corpusPlexPt avatar

    PlexPt/chatgpt-corpus

    964View on GitHub↗

    This project provides a comprehensive Chinese language corpus designed to support the training and fine-tuning of large language models. It serves as a structured natural language processing resource, offering a collection of text data that includes dialogue, customer service interactions, and creative writing. The dataset is organized into distinct thematic categories, allowing for targeted model development across specific conversational and narrative contexts. By providing information in standardized, schema-agnostic text formats, the collection ensures portability across various machine l

    awesomecorpuscorpus-data
    View on GitHub↗964
  • cvlab-columbia/vipercvlab-columbia avatar

    cvlab-columbia/viper

    1,717View on GitHub↗

    Code for the paper "ViperGPT: Visual Inference via Python Execution for Reasoning"

    Jupyter Notebook
    View on GitHub↗1,717
  • esbatmop/mnbvcesbatmop avatar

    esbatmop/MNBVC

    4,123View on GitHub↗

    MNBVC is a dataset pipeline and toolkit designed for the collection, cleaning, and normalization of massive text and code corpora used to train large language models. It provides specialized tools for harvesting source code, commit histories, and repository metadata from version control platforms, alongside a multilingual text corpus collector for gathering parallel text and academic papers. The project distinguishes itself through comprehensive capabilities for processing diverse document types, including a PDF-to-text converter that transforms complex layouts and formulas into structured JS

    chinesechinese-languagechinese-nlp
    View on GitHub↗4,123
  • contextualai/lensContextualAI avatar

    ContextualAI/lens

    356View on GitHub↗

    This is the official repository for the LENS (Large Language Models Enhanced to See) system.

    Jupyter Notebook
    View on GitHub↗356
Compare all 30 related projects→

Frequently asked questions

What does stevengrove/gpt4tools do?

GPT4Tools is an intelligent system that can automatically decide, control, and utilize different visual foundation models, allowing the user to interact with images during a conversation.

What are the main features of stevengrove/gpt4tools?

The main features of stevengrove/gpt4tools are: Agentic Visual Reasoning, Pre-training Datasets.

Which projects share features with stevengrove/gpt4tools?

Projects with overlapping indexed features include: plexpt/chatgpt-corpus — This project provides a comprehensive Chinese language corpus designed to support the training and fine-tuning of… cvlab-columbia/viper — Code for the paper "ViperGPT: Visual Inference via Python Execution for Reasoning". esbatmop/mnbvc — MNBVC is a dataset pipeline and toolkit designed for the collection, cleaning, and normalization of massive text and… fuxiaoliu/lrv-instruction — [ICLR'24] Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning. google-research/google-research — This repository serves as a comprehensive research platform and toolkit for advancing machine learning, quantum… contextualai/lens — This is the official repository for the LENS (Large Language Models Enhanced to See) system.