company.hpc-ai.com/blog/colossal-ai-swiftinfer
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https://company.hpc-ai.com/blog/colossal-ai-swiftinfer
Inference Performance Improved by 46%, Open Source Solution Breaks the Length Limit of LLM for Multi-Round Conversations
The Colossal-AI team open-sourced SwiftInfer, an TensorRT-based implementation of the StreamingLLM algorithm, providing an efficient and reliable solution for multi-round conversations.
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Inference Performance Improved by 46%, Open Source Solution Breaks the Length Limit of LLM for Multi-Round Conversations
https://company.hpc-ai.com/blog/colossal-ai-swiftinfer
The Colossal-AI team open-sourced SwiftInfer, an TensorRT-based implementation of the StreamingLLM algorithm, providing an efficient and reliable solution for multi-round conversations.
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https://company.hpc-ai.com/blog/colossal-ai-swiftinferInference Performance Improved by 46%, Open Source Solution Breaks the Length Limit of LLM for Multi-Round Conversations
The Colossal-AI team open-sourced SwiftInfer, an TensorRT-based implementation of the StreamingLLM algorithm, providing an efficient and reliable solution for multi-round conversations.
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14- titleInference Performance Improved by 46%, Open Source Solution Breaks the Length Limit of LLM for Multi-Round Conversations
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7- og:descriptionThe Colossal-AI team open-sourced SwiftInfer, an TensorRT-based implementation of the StreamingLLM algorithm, providing an efficient and reliable solution for multi-round conversations.
- og:titleInference Performance Improved by 46%, Open Source Solution Breaks the Length Limit of LLM for Multi-Round Conversations
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