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Explore Fine Tune Llama 3.1 (8b) - 2X Faster | With Google Colab and 0$ with 5,714 views, 104 likes, and 10 comments. Experience the impact of this video content that has captured audience attention.

In this video, we're going to fine-tune LLAMA 3.1 - 8B on Google Colab at zero cost using a free dataset, aided by libraries from Hugging Face. We'll also test this model and compare it to GPT-3.5 Turbo, and learn when to fine-tune a model and when to build a RAG system. We'll make the fine-tuning process easy and explain what LoRA , as well as how the fine-tuning process works. Support Me on Petron ⚡: https://www.patreon.com/Codewello 00:00 - Llama 3.1 8B Details 00:54 - Benchmark 01:20 - Llama 3.1 8B vs GPT 3.5 Turbo 04:05 - Llama 3.1 8B Summarization Abilities 04:38 - Fine Tuning Vs Rag 04:59 - When to fine tune model 06:02 - When to use Rag System 07:39 - Unsloth 07:50 - Fine tuning Llama 3.1 8b on Free Google Colab 10:22 - Run and Save the model we created 12:06 - Code and Resources My Pc Parts 🖥️ RTX 3070: https://amzn.to/4cNpMjp CPU :https://amzn.to/4dL12K1 SSD : https://amzn.to/4g2dUgt _______________________________________________________________ 🤖 Open AI Template Alima : https://codewello.gumroad.com/l/kjlzw 💷 50% Discount Code : A2LH6LZ 👉 Linkedin : https://www.linkedin.com/in/hossam-eldin/ _______________________________________________________________ Fine Tuning Vs Rag 👉 https://melon-handball-9ad.notion.site/Fine-Tuning-VS-RAG-d6c722247f1d495aa0aa590b70704ce4 Code 👉 https://colab.research.google.com/drive/1Ys44kVvmeZtnICzWz0xgpRnrIOjZAuxp?usp=sharing Other Models 👉 https://github.com/unslothai/unsloth Article 👉 https://aws.amazon.com/blogs/aws/announcing-llama-3-1-405b-70b-and-8b-models-from-meta-in-amazon-bedrock/ #llama3.1 #finetune #gpt #falcon #ai #llms #gpt #huggingface #autogpt

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