| Afternoon Session (2:00 PM - 6:00 PM) | |
|---|---|
| 2:00 - 3:00 PM |
Evaluating Generative Models
Analyze text generation outputs for coherence, factuality, and creativity.
|
| 3:00 - 4:00 PM |
Instruction-Tuning Lab
Prepare and merge Dolly15k, Alpaca, and FLAN datasets, then fine-tune GPT-2.
|
| 4:00 - 5:00 PM |
Course on Prompt Engineering, Chain-of-Thought (CoT), and Hallucination
Learn how to design robust prompts, manage reasoning chains, and mitigate false outputs.
|
| 5:00 - 6:00 PM |
Q&A: Understanding the Human Side of LLMs
|