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End-to-End (small) LLM Fine-tuning Tutorial (from data to model to live demo) | On DGX Spark

End-to-End (small) LLM Fine-tuning Tutorial (from data to model to live demo) | On DGX Spark

59:49 104,697 views

EASIEST Way to Fine-Tune a LLM and Use It With Ollama

EASIEST Way to Fine-Tune a LLM and Use It With Ollama

22:02 832,301 views

GenAI Project 1 - LLM Fine-Tuning with LoRA on Google Colab | Text-to-SQL

GenAI Project 1 - LLM Fine-Tuning with LoRA on Google Colab | Text-to-SQL

03:30 752,903 views

LLM Fine-Tuning Course – From Supervised FT to RLHF, LoRA, and Multimodal

LLM Fine-Tuning Course – From Supervised FT to RLHF, LoRA, and Multimodal

03:30 158,350 views

Fine Tuning LLM Models – Generative AI Course

Fine Tuning LLM Models – Generative AI Course

03:30 505,588 views

How to Fine-Tune any AI Model Locally (FULL Tutorial)

How to Fine-Tune any AI Model Locally (FULL Tutorial)

41:06 239,582 views

RAG vs. Fine Tuning

RAG vs. Fine Tuning

08:57 694,903 views

LLM Fine Tuning Crash Course | LLM Fine Tuning Tutorial

LLM Fine Tuning Crash Course | LLM Fine Tuning Tutorial

53:42 719,029 views

Fine Tuning LLM Explained Simply

Fine Tuning LLM Explained Simply

06:46 346,259 views

How to Fine-tune LLMs with Unsloth: Complete Guide

How to Fine-tune LLMs with Unsloth: Complete Guide

03:30 588,758 views

LLMs Fine-Tuning تطبيق عملي على ال

LLMs Fine-Tuning تطبيق عملي على ال

03:30 482,904 views

EASIEST Way to Fine-Tune a LLM and Use It With Ollama

EASIEST Way to Fine-Tune a LLM and Use It With Ollama

05:18 387,438 views

Finetune LLMs to teach them ANYTHING with Huggingface and Pytorch | Step-by-step tutorial

Finetune LLMs to teach them ANYTHING with Huggingface and Pytorch | Step-by-step tutorial

38:55 749,804 views

LLM Fine-Tuning Explained: The Complete Guide

LLM Fine-Tuning Explained: The Complete Guide

10:26 114,652 views

🎓 Featured Course Guide & Lesson Notes: End-to-End (small) LLM Fine-tuning Tutorial (from data to model to live demo) | On DGX Spark

Top Result #1

Instructor: Daniel Bourke  |  Runtime: 59:49 mins  |  Students / Views: 104,697

In this video we fully fine-tune Google's Gemma 3 270M Small Language Model to do structured data extraction. Because the Gemma 3 270M is quite small in world of LLMs, we're able to do all of the training locally on a NVIDIA DGX Spark (see here for more: https://nvda.ws/4iQXZU4). The code should also run in Google Colab. If you have any issues, please let me know in a comment. Links: Google Colab Notebook - https://colab.research.google.com/drive/1hV6Gcz8vBRS9t0bYkBp6W1ne_yqG6mJx?usp=sharing Learn Hugging Face Book Version - https://www.learnhuggingface.com/notebooks/hugging_face_llm_full_fine_tune_tutorial Dataset - https://huggingface.co/datasets/mrdbourke/FoodExtract-1k Base model (Gemma 3 270M) - https://huggingface.co/google/gemma-3-270m-it Demo - https://huggingface.co/spaces/mrdbourke/FoodExtract-v1 Past livestreams (where we coded the notebook from scratch): Part 1 (loading the model and fine-tuning it) - https://youtube.com/live/M32fJdG3D_A?feature=share Part 2 (sharing our model and creating a demo) - https://youtube.com/live/zt8t-xT26rA?feature=share Courses I teach: Learn AI/ML (beginner-friendly course) - https://dbourke.link/ZTMMLcourse Learn Hugging Face - https://dbourke.link/ZTMHuggingFace Learn TensorFlow - https://dbourke.link/ZTMTFcourse Learn PyTorch - https://dbourke.link/ZTMPyTorch Connect elsewhere: Download Nutrify (my startup) - https://apple.co/4ahM7Wc My website - https://www.mrdbourke.com X/Twitter - https://www.twitter.com/mrdbourke LinkedIn - www.linkedin.com/in/mrdbourke Get email updates on my work - https://dbourke.link/newsletter Read my novel Charlie Walks - https://www.charliewalks.com Timestamps: 00:00 Welcome to the Machine Learning Cooking Show 00:57 Why Fine-Tune Your Own Model? 02:47 Ingredients and Preparation 05:45 Understanding the Task and Data 18:27 Formatting Data for the Model 20:41 Testing the Base Model 30:29 Model Fine-Tuning 31:08 Testing the Model with Sample Data 32:26 Setting Up Supervised Fine-Tuning 34:42 Training the Model Locally 36:38 Evaluating Model Performance 42:55 Uploading the Model to Hugging Face Hub 47:02 Creating a Demo with Gradio 56:08 Speeding Up Inference with Batch Processing 58:11 Next Steps and Conclusion Key Highlights & Overview: Learning <strong>Llm Fine Tuning Project</strong> is essential for modern technical workflows and software skills. Follow along with top-rated video tutorials from industry experts today on <strong>TutorTube</strong>.