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Jax Back Ends and Devices (gilesthomas.com)
2 points by gpjt 3 hours ago | past | discuss
Using Safetensors with Flax (gilesthomas.com)
1 point by ibobev 9 hours ago | past | discuss
Using Safetensors with Flax (gilesthomas.com)
2 points by gpjt 23 hours ago | past | discuss
First Looking into Jax (gilesthomas.com)
2 points by ibobev 4 days ago | past | discuss
First Looking into Jax (gilesthomas.com)
3 points by gpjt 6 days ago | past | discuss
10Gb/s Ethernet: using mini-heatsinks with a 10GBASE-T SFP+ module (gilesthomas.com)
1 point by ibobev 17 days ago | past
10Gb/s Ethernet: using mini-heatsinks with a 10GBASE-T SFP+ module (gilesthomas.com)
3 points by gpjt 18 days ago | past
10Gb/s Ethernet: what I did to get it working in my home (gilesthomas.com)
232 points by gpjt 37 days ago | past | 177 comments
10Gb Ethernet: what I had to (re)learn (gilesthomas.com)
2 points by ibobev 37 days ago | past
10Gb Ethernet: what I had to (re)learn (gilesthomas.com)
1 point by gpjt 38 days ago | past | 1 comment
LLM from scratch, part 33 – what I learned from the appendices (gilesthomas.com)
5 points by gpjt 44 days ago | past
LLM from scratch (32l) – Interventions: updated instruction fine-tuning results (gilesthomas.com)
1 point by gpjt 45 days ago | past
An LLM becomes more coherent as we train it (gilesthomas.com)
1 point by ibobev 48 days ago | past
How an LLM becomes more coherent as we train it (gilesthomas.com)
3 points by gpjt 48 days ago | past
LLM from scratch, part 32k – Interventions: gradient accumulation (gilesthomas.com)
2 points by gpjt 51 days ago | past
Interventions: Trying to train a better model in the cloud (gilesthomas.com)
1 point by ibobev 56 days ago | past
LLM from scratch, part 32j – trying to train a better model in the cloud (gilesthomas.com)
2 points by gpjt 57 days ago | past
Writing an LLM from scratch, part 32i – Interventions: what is in the noise? (gilesthomas.com)
2 points by ibobev 58 days ago | past
Writing an LLM from scratch, part 32i – Interventions: what is in the noise? (gilesthomas.com)
1 point by gpjt 59 days ago | past
Writing an LLM from scratch, part 32h – Interventions: full fat float32 (gilesthomas.com)
2 points by ibobev 59 days ago | past
Writing an LLM from scratch, part 32h – Interventions: full fat float32 (gilesthomas.com)
7 points by gpjt 62 days ago | past
Automating starting Lambda Labs instances (gilesthomas.com)
2 points by ibobev 63 days ago | past
Writing an LLM from scratch, part 32g – Interventions: weight tying (gilesthomas.com)
2 points by ibobev 72 days ago | past
Writing an LLM from scratch, part 32g – Interventions: weight tying (gilesthomas.com)
2 points by gpjt 73 days ago | past
Writing an LLM from scratch, part 32f – Interventions: weight decay (gilesthomas.com)
6 points by gpjt 73 days ago | past
Writing an LLM from scratch, part 32e – Interventions: the learning rate (gilesthomas.com)
3 points by ibobev 81 days ago | past
Writing an LLM from scratch, part 32e – Interventions: the learning rate (gilesthomas.com)
3 points by gpjt 87 days ago | past
Writing an LLM from scratch, part 32a – Interventions: training a baseline model (gilesthomas.com)
3 points by ibobev 3 months ago | past
Writing an LLM from scratch, part 32B – Interventions: gradient clipping (gilesthomas.com)
1 point by ibobev 3 months ago | past
Writing an LLM from scratch, part 32c – Interventions: removing dropout (gilesthomas.com)
1 point by ibobev 3 months ago | past

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