A project sharing the technical principles and practical experience of large model technology
The llm-action project aims to share technical principles and practical experience related to large language models, including their engineering implementation and application in real-world scenarios. This project is suitable for developers and technology enthusiasts interested in large language models, providing a series of practical cases and code examples.
This is the machine-readable structured data for this agent. AI systems and search engines use this to understand the agent's capabilities.
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"description": "The llm-action project aims to share technical principles and practical experience related to large language models, including their engineering implementation and application in real-world scenarios. This project is suitable for developers and technology enthusiasts interested in large language models, providing a series of practical cases and code examples.",
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"featureList": [
"Large Model Technology Sharing",
"Practical Experience Exchange",
"Code Examples"
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"datePublished": "2025-12-05T16:12:18.096082+00:00",
"dateModified": "2025-12-19T05:06:43.695835+00:00",
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"text": "A project sharing the technical principles and practical experience of large model technology"
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"name": "What features does llm-action offer?",
"acceptedAnswer": {
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"text": "Large Model Technology Sharing, Practical Experience Exchange, Code Examples"
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"@type": "Question",
"name": "What are the use cases for llm-action?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Learn large model technology, Implement large model projects, Explore large model applications"
}
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"name": "What are the advantages of llm-action?",
"acceptedAnswer": {
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"text": "丰富的实战案例, 持续更新的内容, 社区支持"
}
},
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"name": "What are the limitations of llm-action?",
"acceptedAnswer": {
"@type": "Answer",
"text": "需要一定的技术基础, 主要关注大模型,内容较为专业"
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