MC09: When to Fine-Tune, Tokenization and Preprocessing Data

MC09: When to Fine-Tune, Tokenization & Preprocessing for LLMs

📅 Happening this Saturday, June 21 at 11AM GST!
👉 https://nas.io/artificialintelligence/events/mc09-aires5-finetune

Training powerful LLMs doesn’t start with models—it starts with data. Clean, well-prepped, and tokenized data is your secret weapon. Join this hands-on session to master the full pipeline, from raw web-scale text to fine-tuning-ready datasets.

What You’ll Learn:
🔤 Tokenizer selection (BPE, WordPiece, SentencePiece) & extending vocab
🧽 Deep-cleaning tricks: de-duplication, PII masking, and prompt-response alignment
🗂️ FineWeb integration: filtering, sharding, and streaming best practices
🤖 RAG vs Fine-Tuning – A decision guide based on cost, speed, and compliance

You’ll Walk Away With:
✅ A plug-and-play preprocessing repo for your next ML project
✅ A practical RAG vs Fine-Tune checklist
✅ Confidence to handle domain-specific, multilingual, or sensitive data at scale

Who Should Attend:
ML Engineers, Data Scientists, and Tech Leads who want to build smarter, faster, and safer AI systems.

Don’t miss this essential session for next-gen LLM builders.