| Morning Session (9:00 AM - 1:00 PM) | |
|---|---|
| 9:00 - 10:00 AM |
Understanding Representation Spaces
Analyze contrastive learning model embeddings and understand semantic structure.
|
| 10:00 - 11:00 AM |
Inside GPT-Style Models
Architecture and text generation mechanisms behind Large Language Models.
|
| 11:00 - 12:00 PM |
Hands-On: Training GPT-2 from Scratch
Prepare the OpenWebText dataset and train a baseline model for text generation.
|
| 12:00 - 1:00 PM |
Instruction Fine-Tuning in Practice
Explore Conversational AI and programming-focused fine-tuning for domain adaptation.
|