MC11: Finetuning and Chain of Thoughts, ReACT Prompting

MC11: Finetuning and Chain of Thoughts, ReACT Prompting

Happening Saturday, August 30 at 1:30 PM GST
📌https://nas.io/artificialintelligence/events/mc-10-why-fine-tuning-data-preprocessing-and-demo

This hands-on masterclass will show you exactly when fine-tuning is the right choice (vs. prompts or RAG), what data you’ll need, and how to prepare it for reliable, real-world results.

What you’ll learn:

• ✅ How to decide if/when to fine-tune based on task, data volatility, and ROI
• ✅ Practical preprocessing: de-duplication, normalization, tokenization, and split strategy
• ✅ A live notebook demo (run locally or in Colab) with quick evaluation metrics
• ✅ See before/after results with PEFT/QLoRA lightweight fine-tuning

Note: This Masterclass is part of the AI Residency. The new cohort kicks off Saturday, 23 Aug (GST). Don’t miss your chance to join!