Fine-Tuning Flux , Building Games with OpenAI’s o1, Strawberry Explained! 🧠| AI Bros Pod EP 2
In this episode, we explore fine-tuning AI models with Flux, building 3D games using OpenAI’s o1 preview, and diving into the Strawberry architecture. We also discuss optimization techniques, reinforcement learning, image classification, and data preprocessing. Plus, updates on the latest AI models from Alibaba and practical AI applications. Check out the timestamps below for easy navigation! 👇
Timestamps:
0:12 - Flux AI Overview
3:14 - Training with Flux
7:42 - Fine-Tuning Process
10:02 - Uploading Adapters
17:04 - AI Training Configuration
20:32 - Loading Components
26:26 - Snake Game Specs
29:30 - Game Development Tips
38:32 - Building Basic Game
43:45 - Customizing Backgrounds
57:09 - Strawberry Explained
59:42 - Multi-Turn Optimization
1:04:46 - Model Optimization
1:06:55 - AI Gaming Research
1:12:07 - AlphaGo Insights
1:14:24 - Inference Time Impact
1:18:23 - Strawberry Training Data
1:20:15 - Enhancing Accuracy
1:24:29 - Reinforcement Learning Discussion
1:27:05 - Self-Play Modeling
1:33:55 - Zomato AI Ban
1:38:15 - Image Detection System
1:43:30 - Data Preprocessing Techniques
1:45:29 - Image Classification Models
1:49:05 - Alibaba Open-Source
1:51:06 - Alibaba Cloud Features
1:56:20 - Specialized AI Models
1:58:38 - Creative Image Generation
2:05:01 - Creating Image Assets
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🔗 Links to Resources:
Google Slides link (PPT): https://docs.google.com/presentation/...
Google Docs (Link): https://docs.google.com/document/d/1G...
Instagram: / aibrospod
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