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