| | 10Gb/s Ethernet: what I did to get it working in my home (gilesthomas.com) |
| 223 points by gpjt 2 days ago | past | 168 comments |
|
| | 10Gb Ethernet: what I had to (re)learn (gilesthomas.com) |
| 2 points by ibobev 2 days ago | past | discuss |
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| | 10Gb Ethernet: what I had to (re)learn (gilesthomas.com) |
| 1 point by gpjt 3 days ago | past | 1 comment |
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| | LLM from scratch, part 33 – what I learned from the appendices (gilesthomas.com) |
| 5 points by gpjt 9 days ago | past | discuss |
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| | LLM from scratch (32l) – Interventions: updated instruction fine-tuning results (gilesthomas.com) |
| 1 point by gpjt 11 days ago | past | discuss |
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| | An LLM becomes more coherent as we train it (gilesthomas.com) |
| 1 point by ibobev 13 days ago | past | discuss |
|
| | How an LLM becomes more coherent as we train it (gilesthomas.com) |
| 3 points by gpjt 14 days ago | past |
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| | LLM from scratch, part 32k – Interventions: gradient accumulation (gilesthomas.com) |
| 2 points by gpjt 16 days ago | past |
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| | Interventions: Trying to train a better model in the cloud (gilesthomas.com) |
| 1 point by ibobev 21 days ago | past |
|
| | LLM from scratch, part 32j – trying to train a better model in the cloud (gilesthomas.com) |
| 2 points by gpjt 22 days ago | past |
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| | Writing an LLM from scratch, part 32i – Interventions: what is in the noise? (gilesthomas.com) |
| 2 points by ibobev 23 days ago | past |
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| | Writing an LLM from scratch, part 32i – Interventions: what is in the noise? (gilesthomas.com) |
| 1 point by gpjt 24 days ago | past |
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| | Writing an LLM from scratch, part 32h – Interventions: full fat float32 (gilesthomas.com) |
| 2 points by ibobev 25 days ago | past |
|
| | Writing an LLM from scratch, part 32h – Interventions: full fat float32 (gilesthomas.com) |
| 7 points by gpjt 28 days ago | past |
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| | Automating starting Lambda Labs instances (gilesthomas.com) |
| 2 points by ibobev 28 days ago | past |
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| | Writing an LLM from scratch, part 32g – Interventions: weight tying (gilesthomas.com) |
| 2 points by ibobev 37 days ago | past |
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| | Writing an LLM from scratch, part 32g – Interventions: weight tying (gilesthomas.com) |
| 2 points by gpjt 38 days ago | past |
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| | Writing an LLM from scratch, part 32f – Interventions: weight decay (gilesthomas.com) |
| 6 points by gpjt 39 days ago | past |
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| | Writing an LLM from scratch, part 32e – Interventions: the learning rate (gilesthomas.com) |
| 3 points by ibobev 46 days ago | past |
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| | Writing an LLM from scratch, part 32e – Interventions: the learning rate (gilesthomas.com) |
| 3 points by gpjt 52 days ago | past |
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| | Writing an LLM from scratch, part 32a – Interventions: training a baseline model (gilesthomas.com) |
| 3 points by ibobev 81 days ago | past |
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| | Writing an LLM from scratch, part 32B – Interventions: gradient clipping (gilesthomas.com) |
| 1 point by ibobev 81 days ago | past |
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| | Writing an LLM from scratch, part 32c – Interventions: removing dropout (gilesthomas.com) |
| 1 point by ibobev 81 days ago | past |
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| | Writing an LLM from scratch, part 32d – Interventions: adding attention bias (gilesthomas.com) |
| 1 point by ibobev 81 days ago | past |
|
| | Writing an LLM from scratch, part 32d – Interventions: adding attention bias (gilesthomas.com) |
| 6 points by gpjt 84 days ago | past |
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| | Writing an LLM from scratch, part 32c – Interventions: removing dropout (gilesthomas.com) |
| 1 point by gpjt 85 days ago | past |
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| | Writing an LLM from scratch, part 32B – Interventions: gradient clipping (gilesthomas.com) |
| 2 points by gpjt 86 days ago | past |
|
| | Writing an LLM from scratch, part 32a – Interventions: training a baseline model (gilesthomas.com) |
| 1 point by gpjt 87 days ago | past |
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| | Getting a Custom PyTorch LLM onto the Hugging Face Hub (gilesthomas.com) |
| 1 point by ibobev 3 months ago | past |
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| | Getting a Custom PyTorch LLM onto the Hugging Face Hub (gilesthomas.com) |
| 1 point by gpjt 3 months ago | past |
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| More |
