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FreedomIntelligence avatar

FreedomIntelligence/Huatuo-26M

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Huatuo 26M

The Largest-scale Chinese Medical QA Dataset: with 26,000,000 question answer pairs.

Features

  • Instruction Datasets - Comprehensive medical Q&A dataset for healthcare AI.
  • Medical Text Datasets - Massive medical instruction-tuning dataset for language models.

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Häufig gestellte Fragen

Was macht freedomintelligence/huatuo-26m?

The Largest-scale Chinese Medical QA Dataset: with 26,000,000 question answer pairs.

Was sind die Hauptfunktionen von freedomintelligence/huatuo-26m?

Die Hauptfunktionen von freedomintelligence/huatuo-26m sind: Instruction Datasets, Medical Text Datasets.

Welche Open-Source-Alternativen gibt es zu freedomintelligence/huatuo-26m?

Open-Source-Alternativen zu freedomintelligence/huatuo-26m sind unter anderem: cluebenchmark/pclue. da-southampton/redgpt — [English Version]. instruction-tuning-with-gpt-4/gpt-4-llm — This project is an instruction tuning framework and synthetic data generator that uses high-capacity teacher models to… lianjiatech/belle — BELLE is a specialized implementation of Chinese conversational large language models, encompassing a full instruction… phoebussi/alpaca-cot — We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods… plexpt/chatgpt-corpus — This project provides a comprehensive Chinese language corpus designed to support the training and fine-tuning of…

Open-Source-Alternativen zu Huatuo 26M

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  • da-southampton/redgptAvatar von DA-southampton

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    English Version

    Auf GitHub ansehen↗70
  • instruction-tuning-with-gpt-4/gpt-4-llmAvatar von Instruction-Tuning-with-GPT-4

    Instruction-Tuning-with-GPT-4/GPT-4-LLM

    4,335Auf GitHub ansehen↗

    This project is an instruction tuning framework and synthetic data generator that uses high-capacity teacher models to produce instruction-following pairs for training smaller student models. It provides datasets and tools for supervised instruction tuning and reinforcement learning from human feedback. The framework specializes in cross-lingual tuning, offering high-quality instruction-following examples in English and Chinese to improve model generalization across different scripts. It includes a reward modeling tool for creating preference datasets and comparative ratings used to train rew

    HTMLalpacachatgptgpt-4
    Auf GitHub ansehen↗4,335
  • lianjiatech/belleAvatar von LianjiaTech

    LianjiaTech/BELLE

    8,273Auf GitHub ansehen↗

    BELLE is a specialized implementation of Chinese conversational large language models, encompassing a full instruction tuning framework. It provides a pipeline for training, evaluating, and deploying models optimized for natural language understanding and dialogue tasks in the Chinese language. The project is distinguished by its integrated approach to model refinement, combining the curation of multi-million entry instruction datasets with a distributed training pipeline. This pipeline supports both full fine-tuning and low-rank adaptation to optimize conversational performance. The system

    HTMLbloomchinese-nlpgpt-evaluation
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  • cluebenchmark/pclueAvatar von CLUEbenchmark

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    Jupyter Notebookchinesecluedatasets
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Alle 10 Alternativen zu Huatuo 26M anzeigen→