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be7a

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投稿

TokenSpeed: A Speed-of-Light LLM Inference Engine for Agentic Workloads

lightseek.org
2 ポイント·投稿者 be7a·2 か月前·0 コメント

System Card: Claude Mythos Preview [pdf]

www-cdn.anthropic.com
848 ポイント·投稿者 be7a·3 か月前·658 コメント

コメント

be7a
·23 日前·議論
[dead]
be7a
·2 か月前·議論
[dead]
be7a
·3 か月前·議論
Users get two completions for their prompt and rank them. From this you can then use Bradley-Terry to get Elo scores per model.
be7a
·3 か月前·議論
242 Elo points clear of the next best model and 93% win rate against random models (96% against nano banana) while Gemini 3.1 (second best) sits at 67%. That’s quite the leap.
be7a
·10 か月前·議論
The biggest takeaway is that they claim SOTA for multi-modal stuff even ahead of proprietary models and still released it as open-weights. My first tests suggest this might actually be true, will continue testing. Wow