Compressing Large Language Models (LLMs) | w/ Python Code скачать в хорошем качестве

Compressing Large Language Models (LLMs) | w/ Python Code

Get exclusive access to AI resources and project ideas: https://the-data-entrepreneurs.kit.co... Here, I discuss 3 ways to do model compression on LLMs (i.e. Quantization, Pruning, and Knowledge Distillation/Model Distillation) with example Python code. Resources: 📰 Blog: https://medium.com/towards-data-scien... 🎥 Training the Teacher Model:    • Fine-Tuning BERT for Text Classificat...   💻 GitHub Repo: https://github.com/ShawhinT/YouTube-B... 👩‍🏫 Teacher Model: https://huggingface.co/shawhin/bert-p... 🧑‍🎓 Student Model: https://huggingface.co/shawhin/bert-p... 👾 4-bit Student Model: https://huggingface.co/shawhin/bert-p... 💿 Dataset: https://huggingface.co/datasets/shawh... References: [1] https://arxiv.org/abs/2001.08361 [2] https://arxiv.org/abs/1710.09282 [3] https://machinelearning.apple.com/res... [4] https://arxiv.org/abs/1710.09282 [5] https://arxiv.org/abs/2308.07633 [6] https://arxiv.org/abs/2402.17764 [7] https://arxiv.org/abs/1710.01878 [8] https://arxiv.org/abs/1503.02531 [9] https://crfm.stanford.edu/2023/03/13/... [10] https://arxiv.org/abs/2305.14314 [11] https://www.researchgate.net/publicat... -- Homepage: https://www.shawhintalebi.com Intro - 0:00 "Bigger is Better" - 0:40 The Problem - 1:35 Model Compression - 2:14 1) Quantization - 3:11 2) Pruning - 5:44 3) Knowledge Distillation - 8:04 Example: Compressing a model with KD + Quantization - 11:10