How to Train a Multi Modal Large Language Model with Images?

🚀 Welcome to our deep dive into fine-tuning multimodal models for enhanced image recognition! In this video, we're taking the powerful Idefics 9B parameter model to the next level by focusing on the details, starting with doodles. Learn How to Train a Multi Modal Large Language Model with Images. Our goal? To teach our AI to see not just a person wearing glasses but to understand and describe the drawing in detail - including the glasses and scarf. 🤓🎨

Massed compute: https://bit.ly/mervin-praison
Coupon: MervinPraison (50% Discount)

We'll walk you through the essential steps:
- Setting up the configuration 🛠
- Pre-fine-tuning visualisation 🖼
- Image preparation and preprocessing 📸
- Data setup for precision tuning 📊
- The fine-tuning process itself 🔧
- Saving and sharing your improved model on Hugging Face 🌐

Why this matters: Enhancing your AI's ability to understand and describe images in detail can revolutionise how we interact with technology, making it more intuitive and helpful.

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👇 CHECK OUT THE CODE AND RESOURCES BELOW 👇

🔗 Resources:
Patreon: https://patreon.com/MervinPraison
Ko-fi: https://ko-fi.com/mervinpraison
Discord: https://discord.gg/nNZu5gGT59
Twitter / X : https://twitter.com/mervinpraison
Code: https://mer.vin/2024/03/fine-tuning-doodles-cards-on-idefics-9b-vision-model/

👍 Like this video to help others discover it, and share your thoughts or questions in the comments below. We love hearing from you!

Timestamps:
0:00 - Introduction and Overview
0:02 - Preparing for Fine-Tuning
0:50 - Getting Started with Configuration
1:03 - Subscription Reminder
1:21 - Installation Steps
4:01 - Pre-Fine-Tuning Model Output
4:54 - Image Pre-Processing Steps
6:29 - Fine-Tuning the Model
7:48 - Saving and Uploading to Hugging Face
8:44 - Post-Fine-Tuning Results
9:14 - Closing Thoughts

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Видео How to Train a Multi Modal Large Language Model with Images? канала Mervin Praison