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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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