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LLM from scratch, part 32j – trying to train a better model in the cloud (gilesthomas.com)
2 points by gpjt 3 months ago | past
Writing an LLM from scratch, part 32i – Interventions: what is in the noise? (gilesthomas.com)
2 points by ibobev 3 months ago | past
Writing an LLM from scratch, part 32i – Interventions: what is in the noise? (gilesthomas.com)
1 point by gpjt 3 months ago | past
Writing an LLM from scratch, part 32h – Interventions: full fat float32 (gilesthomas.com)
2 points by ibobev 3 months ago | past
Writing an LLM from scratch, part 32h – Interventions: full fat float32 (gilesthomas.com)
7 points by gpjt 4 months ago | past
Automating starting Lambda Labs instances (gilesthomas.com)
2 points by ibobev 4 months ago | past
Writing an LLM from scratch, part 32g – Interventions: weight tying (gilesthomas.com)
2 points by ibobev 4 months ago | past
Writing an LLM from scratch, part 32g – Interventions: weight tying (gilesthomas.com)
2 points by gpjt 4 months ago | past
Writing an LLM from scratch, part 32f – Interventions: weight decay (gilesthomas.com)
6 points by gpjt 4 months ago | past
Writing an LLM from scratch, part 32e – Interventions: the learning rate (gilesthomas.com)
3 points by ibobev 4 months ago | past
Writing an LLM from scratch, part 32e – Interventions: the learning rate (gilesthomas.com)
3 points by gpjt 4 months ago | past
Writing an LLM from scratch, part 32a – Interventions: training a baseline model (gilesthomas.com)
3 points by ibobev 5 months ago | past
Writing an LLM from scratch, part 32B – Interventions: gradient clipping (gilesthomas.com)
1 point by ibobev 5 months ago | past
Writing an LLM from scratch, part 32c – Interventions: removing dropout (gilesthomas.com)
1 point by ibobev 5 months ago | past
Writing an LLM from scratch, part 32d – Interventions: adding attention bias (gilesthomas.com)
1 point by ibobev 5 months ago | past
Writing an LLM from scratch, part 32d – Interventions: adding attention bias (gilesthomas.com)
6 points by gpjt 5 months ago | past
Writing an LLM from scratch, part 32c – Interventions: removing dropout (gilesthomas.com)
1 point by gpjt 5 months ago | past
Writing an LLM from scratch, part 32B – Interventions: gradient clipping (gilesthomas.com)
2 points by gpjt 6 months ago | past
Writing an LLM from scratch, part 32a – Interventions: training a baseline model (gilesthomas.com)
1 point by gpjt 6 months ago | past
Getting a Custom PyTorch LLM onto the Hugging Face Hub (gilesthomas.com)
1 point by ibobev 6 months ago | past
Getting a Custom PyTorch LLM onto the Hugging Face Hub (gilesthomas.com)
1 point by gpjt 6 months ago | past
Writing an LLM from scratch, part 31 – the models are now on Hugging Face (gilesthomas.com)
1 point by ibobev 6 months ago | past
Writing an LLM from scratch, part 31 – the models are now on Hugging Face (gilesthomas.com)
2 points by gpjt 6 months ago | past
Digging into the LLM-as-a-Judge Results (gilesthomas.com)
1 point by ibobev 6 months ago | past
Digging into the LLM-as-a-Judge Results (gilesthomas.com)
1 point by ibobev 6 months ago | past
Writing an LLM from scratch, part 30 – digging into the LLM-as-a-judge results (gilesthomas.com)
1 point by gpjt 6 months ago | past
Using DistributedDataParallel to train a base model from scratch in the cloud (gilesthomas.com)
10 points by ibobev 6 months ago | past
LLM from scratch, part 29 – using DDP to train a base model in the cloud (gilesthomas.com)
2 points by gpjt 6 months ago | past
LLM from scratch, part 28 – training a base model from scratch on an RTX 3090 (gilesthomas.com)
540 points by gpjt 8 months ago | past | 121 comments
Why smart instruction-following makes prompt injection easier (gilesthomas.com)
2 points by ibobev 8 months ago | past

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