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1.10Gb/s Ethernet: what I did to get it working in my home (gilesthomas.com)
232 points by gpjt 8 days ago | past | 173 comments
2.10Gb Ethernet: what I had to (re)learn (gilesthomas.com)
1 point by gpjt 8 days ago | past | 1 comment
3.LLM from scratch, part 33 – what I learned from the appendices (gilesthomas.com)
5 points by gpjt 14 days ago | past
4.LLM from scratch (32l) – Interventions: updated instruction fine-tuning results (gilesthomas.com)
1 point by gpjt 16 days ago | past
5.How an LLM becomes more coherent as we train it (gilesthomas.com)
3 points by gpjt 19 days ago | past
6.LLM from scratch, part 32k – Interventions: gradient accumulation (gilesthomas.com)
2 points by gpjt 21 days ago | past
7.Provision: LLM-powered server setup from Markdown (provision.sh)
2 points by gpjt 26 days ago | past
8.LLM from scratch, part 32j – trying to train a better model in the cloud (gilesthomas.com)
2 points by gpjt 27 days ago | past
9.Writing an LLM from scratch, part 32i – Interventions: what is in the noise? (gilesthomas.com)
1 point by gpjt 29 days ago | past
10.Writing an LLM from scratch, part 32h – Interventions: full fat float32 (gilesthomas.com)
7 points by gpjt 33 days ago | past
11.Writing an LLM from scratch, part 32g – Interventions: weight tying (gilesthomas.com)
2 points by gpjt 43 days ago | past
12.Writing an LLM from scratch, part 32f – Interventions: weight decay (gilesthomas.com)
6 points by gpjt 44 days ago | past
13.Writing an LLM from scratch, part 32e – Interventions: the learning rate (gilesthomas.com)
3 points by gpjt 57 days ago | past
14.Writing an LLM from scratch, part 32d – Interventions: adding attention bias (gilesthomas.com)
6 points by gpjt 89 days ago | past
15.Writing an LLM from scratch, part 32c – Interventions: removing dropout (gilesthomas.com)
1 point by gpjt 3 months ago | past
16.Writing an LLM from scratch, part 32B – Interventions: gradient clipping (gilesthomas.com)
2 points by gpjt 3 months ago | past
17.Writing an LLM from scratch, part 32a – Interventions: training a baseline model (gilesthomas.com)
1 point by gpjt 3 months ago | past
18.Getting a Custom PyTorch LLM onto the Hugging Face Hub (gilesthomas.com)
1 point by gpjt 3 months ago | past
19.Writing an LLM from scratch, part 31 – the models are now on Hugging Face (gilesthomas.com)
2 points by gpjt 3 months ago | past
20.Writing an LLM from scratch, part 30 – digging into the LLM-as-a-judge results (gilesthomas.com)
1 point by gpjt 3 months ago | past
21.LLM from scratch, part 29 – using DDP to train a base model in the cloud (gilesthomas.com)
2 points by gpjt 3 months ago | past
22.LLM from scratch, part 28 – training a base model from scratch on an RTX 3090 (gilesthomas.com)
540 points by gpjt 5 months ago | past | 121 comments
23.Writing an LLM from scratch, part 27 – what's left, and what's next? (gilesthomas.com)
1 point by gpjt 6 months ago | past
24.Writing an LLM from scratch, part 26 – evaluating the fine-tuned model (gilesthomas.com)
4 points by gpjt 6 months ago | past
25.Writing an LLM from scratch, part 25 – instruction fine-tuning (gilesthomas.com)
2 points by gpjt 6 months ago | past
26.Writing an LLM from scratch, part 24 – the transcript hack (gilesthomas.com)
1 point by gpjt 6 months ago | past
27.Retro Language Models: Rebuilding Karpathy's RNN in PyTorch (gilesthomas.com)
3 points by gpjt 6 months ago | past
28.Writing an LLM from scratch, part 23 – fine-tuning for classification (gilesthomas.com)
1 point by gpjt 6 months ago | past
29.Writing an LLM from scratch, part 22 – training our LLM (gilesthomas.com)
254 points by gpjt 6 months ago | past | 10 comments
30.Revisiting Karpathy's 'Unreasonable Effectiveness of Recurrent Neural Networks' (gilesthomas.com)
2 points by gpjt 6 months ago | past

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