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1.
▲
Show HN: TrainCheck – Catch ML Training Bugs Before It's Too Late
(github.com/OrderLab)
3 points
justmattyou
10 months ago
1 comment
2.
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Petals: Run 100B+ language models at home bit-torrent style
(github.com/bigscience-workshop)
594 points
antman
3 years ago
155 comments
3.
▲
Petals runs Llama 2 (70B) from Colab at 5 tokens/sec
(github.com/bigscience-workshop)
5 points
borzunov
3 years ago
3 comments
4.
▲
Show HN: Run and fine-tune 175B+ LMs in Colab using a P2P network of GPUs
(github.com/bigscience-workshop)
3 points
borzunov
3 years ago
discuss
5.
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Lessons learned from training 104B model
(github.com/bigscience-workshop)
2 points
EvgeniyZh
4 years ago
discuss
6.
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PromptSource: Toolkit for creating, sharing and using natural language prompts
(github.com/bigscience-workshop)
1 point
mindcrime
4 years ago
discuss
7.
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Research workshop on large language models
(github.com)
1 point
throwaway879080
5 years ago
discuss