Tag: sparse attention mechanisms
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Hacker News: Qwen2.5 Turbo extends context length to 1M tokens
Source URL: http://qwenlm.github.io/blog/qwen2.5-turbo/ Source: Hacker News Title: Qwen2.5 Turbo extends context length to 1M tokens Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the introduction of Qwen2.5-Turbo, a large language model (LLM) that significantly enhances processing capabilities, particularly with longer contexts, which are critical for many applications involving AI-driven natural language…
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Simon Willison’s Weblog: Qwen: Extending the Context Length to 1M Tokens
Source URL: https://simonwillison.net/2024/Nov/18/qwen-turbo/#atom-everything Source: Simon Willison’s Weblog Title: Qwen: Extending the Context Length to 1M Tokens Feedly Summary: Qwen: Extending the Context Length to 1M Tokens The new Qwen2.5-Turbo boasts a million token context window (up from 128,000 for Qwen 2.5) and faster performance: Using sparse attention mechanisms, we successfully reduced the time to first…