这篇 Reddit 帖子讨论了大型语言模型在速度和上下文窗口大小方面可能实现的改进，特别是在本地 LLM 部署的背景下。用户推测可以实现多少性能提升，暗示当前的能力可能没有得到充分优化。讨论涉及用户不检查代理生成的代码的个人习惯，而是专注于最终输出。 AI
排序理由 用户在 Reddit 论坛上推测 LLM 的潜在改进，而非主要来源的公告或重要的行业事件。
AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →
LocalLLaMA 用户探讨 LLM 的速度和上下文改进
本文如何被排名
- Signal score
- 0 / 100
- Composite score across the factors below. Higher = stronger signal that this story matters right now.
- Newsworthiness bucket
- Meme
- 用户在 Reddit 论坛上推测 LLM 的潜在改进，而非主要来源的公告或重要的行业事件。
- Source corroboration
- Single-source cluster
- Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
- Topics
- other
- Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
- AI-industry relevance
- Standard
- On-topic for AI-industry coverage; kept in the public index.
- Story freshness
- Breaking (< 6h)
- Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.
完整方法见我们的编辑标准。
报道来源 [1]
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我一直想知道他们还能获得多少速度和/或上下文..
<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1w1gec7/i_always_wonder_how_much_more_speed_andor_context/"> <img alt="I always wonder how much more speed and/or context they'd be getting.." src="https://preview.redd.it/g8o8dwags9mh1.png?width=640&crop=…