Alpaca-CoT

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    "@type": "SoftwareApplication",
    "@id": "https://agentsignals.ai/agents/alpaca-cot",
    "name": "Alpaca-CoT",
    "description": "Alpaca-CoT is a platform designed to unify instruction tuning data (such as CoT data), multiple large language models (LLMs), and parameter-efficient methods (such as LoRA, P-tuning) interfaces. The platform aims to lower the barrier to entry for researchers and developers, promoting the openness and sharing of large model fine-tuning techniques. We welcome open-source enthusiasts to contribute meaningful PRs to jointly enrich and improve this platform.",
    "url": "https://agentsignals.ai/agents/alpaca-cot",
    "applicationCategory": "研究",
    "operatingSystem": "GitHub",
    "sameAs": "https://github.com/PhoebusSi/Alpaca-CoT",
    "installUrl": "https://github.com/PhoebusSi/Alpaca-CoT",
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      "priceCurrency": "USD",
      "description": "免费",
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    "featureList": [
      "Unified interface design",
      "Supports multiple large language models",
      "Integrates parameter-efficient fine-tuning methods"
    ],
    "datePublished": "2025-12-05T17:14:08.560064+00:00",
    "dateModified": "2025-12-20T16:32:14.89686+00:00",
    "publisher": {
      "@type": "Organization",
      "name": "Agent Signals",
      "url": "https://agentsignals.ai"
    }
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      {
        "@type": "Question",
        "name": "What is Alpaca-CoT?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "Unified interfaces for instruction tuning data, multiple large language models, and parameter-efficient methods, making it convenient for researchers to use."
        }
      },
      {
        "@type": "Question",
        "name": "What features does Alpaca-CoT offer?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "Unified interface design, Supports multiple large language models, Integrates parameter-efficient fine-tuning methods"
        }
      },
      {
        "@type": "Question",
        "name": "What are the use cases for Alpaca-CoT?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "Large model research, Model fine-tuning, Open-source technology contribution"
        }
      },
      {
        "@type": "Question",
        "name": "What are the advantages of Alpaca-CoT?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "降低了使用大模型的门槛, 支持多种模型和技术集成, 促进开源社区的活跃度"
        }
      },
      {
        "@type": "Question",
        "name": "What are the limitations of Alpaca-CoT?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "可能需要一定的技术背景, 功能更新依赖于社区贡献"
        }
      }
    ]
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]