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The Magic of Mistral, a Story of Dragon Kings (calculatedcontent.com)
1 point by charleshmartin on Jan 30, 2024 | past
Evaluating Fine-Tuned LLMs with WeightWatcher (calculatedcontent.com)
2 points by charleshmartin on Jan 28, 2024 | past
Deep Learning and Effective Correlation Spaces (calculatedcontent.com)
1 point by charleshmartin on Feb 3, 2023 | past
Better than BERT: Pick your best model (calculatedcontent.com)
1 point by charleshmartin on July 23, 2022 | past
Why does Deep Learning work? – calculated – content (calculatedcontent.com)
2 points by bilsbie on July 18, 2022 | past
Towards a New Theory of Learning: Statistical Mechanics of Deep Neural Networks (calculatedcontent.com)
1 point by Anon84 on Nov 13, 2021 | past
How to tell if you have trained your model with enough data (calculatedcontent.com)
2 points by charleshmartin on July 10, 2021 | past | 2 comments
Is Your Model Overtrained? (calculatedcontent.com)
2 points by charleshmartin on April 4, 2021 | past | 1 comment
WeightWatcher: Empirical Quality Metrics for Deep Neural Networks (calculatedcontent.com)
2 points by charleshmartin on Feb 17, 2020 | past
Towards a New Theory of Learning: Statistical Mechanics of Deep Neural Networks (calculatedcontent.com)
1 point by Anon84 on Dec 6, 2019 | past
Towards a New Theory of Learning: Statistical Mechanics of Deep Neural Networks (calculatedcontent.com)
5 points by charleshmartin on Dec 4, 2019 | past
Why does deep learning work? (calculatedcontent.com)
1 point by n-s-f on March 25, 2017 | past
Why Deep Learning Works: The Renormalization Group (calculatedcontent.com)
2 points by aaronjg on Feb 7, 2017 | past

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