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aarnphm
searching PlanetScale…
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Show HN: Building compiler from scratch without the help of LLMs [video]
(youtube.com)
2 points
by
aarnphm
6mo ago
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0 comments
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Moving to Cloudflare
(aarnphm.xyz)
4 points
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aarnphm
1y ago
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0 comments
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aarnphm
1y ago
Hi srameshc, the core of BentoML is still considered MLOps. A lot of our customers are pretty much MLOps users. However, LLMOps seem like a natural progression of the product, given that a lot of our users now want to experiment/build
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aarnphm
1y ago
Thanks for the recommendation, I'm actually working on something similar for this part of the docs (I'm also working at BentoML).
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Structured decoding in LLMs, a guide for the impatient
(aarnphm.xyz)
2 points
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aarnphm
2y ago
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0 comments
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aarnphm
3y ago
You can pretty much make the same argument about Docker. Docker abstracts away runc, runc abstract away cgroup. I don't think calling it abstraction is correct. OneDiffusion is designed to be opinionated and help users to run diffusion
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OneDiffusion
(github.com)
39 points
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aarnphm
3y ago
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7 comments
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aarnphm
3y ago
Currently on main, 8bit and 4bit quant is supported One can simply do ```openllm start falcon --model-id tiiuae/falcon-40b-instruct --quantize int4``` Beware that there is no free lunch, meaning the quality of inference will degrade by
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aarnphm
3y ago
Hi there, 8bit and 4bit is currently supported on main. GPTQ is working in progress, as well as GGML
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aarnphm
3y ago
Hi all, I'm the main maintainer from the OpenLLM team here. I'm actively developing the fine-tuning feature and will release a PR soon enough. Stay tuned. In the meanwhile, the best way to track the development workflow is at our
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aarnphm
4y ago
Again?? I definitely have to try out BentoML then to see what the hype is about!!
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aarnphm
4y ago
BentoML is an amazing tool that allows you to quickly and easily deploy your machine learning models as APIs. It is extremely user-friendly and easy to use, and the results are amazing. I highly recommend BentoML for anyone who wants to dep