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1 分·作者 textcortex·4个月前·0 评论

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1 分·作者 textcortex·4个月前·0 评论

Running Sonnet 4.5 Level LLM's on Your Own Servers: Kimi K2.5 Economics

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3 分·作者 textcortex·4个月前·0 评论

Are API providers serving us lobotomized models or just burning VC cash

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2 分·作者 textcortex·4个月前·0 评论

Show HN: We open-sourced our internal tool for scoring PRs with Claude AI

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3 分·作者 textcortex·7个月前·1 评论

Ask HN: Replacing Nvidia GPU with AMD

19 分·作者 textcortex·3年前·10 评论

评论

textcortex
·4个月前·讨论
Here's how we use OpenClaw internally at TextCortex:

→ Scans logs every night → Finds bugs before team wakes up → Reports root cause + evidence on Slack → Even knows who's already working on the fix
textcortex
·4个月前·讨论
[dead]
textcortex
·3年前·讨论
I would be interested in running inference on Instinct GPUs(MI250 with 128gb)BUT I can’t find any cloud provider to spin up a machine. It seems they are not yet available or cloud providers are not interested in supporting AMD hardware..
textcortex
·3年前·讨论
Awesome! Looking into it. Thanks
textcortex
·3年前·讨论
I heard lot of bad things about ROCm, hope things improved since then.
textcortex
·3年前·讨论
You can do this without paying to oai: textcortex.com
textcortex
·3年前·讨论
Yep, agreed. Also somehow this AI 2.0 thing he is mentioning reminds me of web 3.0 bs. Baseless and delusional.
textcortex
·3年前·讨论
Most probably they are doing something called prompt tuning. This creates a small ai model that adds virtual tokens to prompt before passing to original model: https://developer.nvidia.com/blog/an-introduction-to-large-l...