High-performance language model based on Jax
Maxtext is a simple, high-performance, and scalable language model built on Jax. It is designed for developers who need fast iteration and high-performance computing, supporting various natural language processing tasks such as text generation, sentiment analysis, and more.
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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"name": "maxtext",
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"sameAs": "https://github.com/AI-Hypercomputer/maxtext",
"installUrl": "https://github.com/AI-Hypercomputer/maxtext",
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"priceCurrency": "USD",
"description": "免费",
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"featureList": [
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"high-performance computing",
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"datePublished": "2025-12-05T17:14:59.72042+00:00",
"dateModified": "2025-12-19T05:09:16.503057+00:00",
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"@type": "Question",
"name": "What are the use cases for maxtext?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Text Generation, Sentiment Analysis, Language Translation"
}
},
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"@type": "Question",
"name": "What are the advantages of maxtext?",
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"text": "高性能, 易于使用, 开源"
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"@type": "Question",
"name": "What are the limitations of maxtext?",
"acceptedAnswer": {
"@type": "Answer",
"text": "可能需要较强的硬件支持, 社区和文档相对较小"
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