Fine-tune LLMs 30x faster! With Daniel Han (Unsloth AI) @TheAIEpiphany
Fine-tune LLMs 30x faster! With Daniel Han (Unsloth AI)  @TheAIEpiphany
Uploaded June 2024 | Updated September 2026, 1 week ago
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Daniel Han from Unsloth AI joined us to walk us through his bug-hunting process and how to make LLM fine-tuning 30x faster. :)

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check out unsloth ai: unsloth.ai
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⌚️ Timetable:
00:00:00 - 00:01:40 Intro
00:01:40 - 00:03:21 Hyperstack GPUs! (sponsored)
00:03:21 - 00:06:30 About Daniel, getting started with ML
00:06:30 - 00:11:00 Using Desmos to check grads
00:11:00 - 00:38:00 Deep dive into Gemma bugs
00:38:00 - 00:50:00 approximate GELU bug
00:50:00 - 00:54:15 What are the bottlenecks to speeding up the runtime?
00:54:15 - 00:58:30 comparison with llm.c?
00:58:30 - 01:00:00 Is multi-GPU coming to Unsloth? :)
01:00:00 - 01:05:19 Reproducibility in ML research

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Huge thank you to these AI Epiphany patreons:
Eli Mahler
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#unslothai #llms #finetuning #ml
Fine-tune LLMs 30x faster! With Daniel Han (Unsloth AI)Day 3: Replicating Metas NLLB - primary & mined data (Pt. 2)Ishan Misra (Meta) - Emu Video GenerationAndrew Huberman transcripts | MLOps series announcementDay 18: Open NLLB - Serbian parallel corpora, paper reading, batch analysis (Pt 2)Day 28: Open NLLB - debugging fuzzy dedup, training fasttext LID (Pt 3)Lucas Beyer (Google DeepMind) - Convergence of Vision & LanguageGet Started With Stable Diffusion! (Code, HF Spaces, Diffusers Notebooks)Stable Diffusion: High-Resolution Image Synthesis with Latent Diffusion Models | ML Coding SeriesDay 12: Open NLLB - on-boarding doc for new-joiners, eval (Pt 2.)Channel update: moving to London in 2 days, new MLOps seriesBuild AI Agents using Integrail (Halloween special)
Aleksa Gordić - The AI Epiphany |

Fine-tune LLMs 30x faster! With Daniel Han (Unsloth AI)

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