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Track 10: Training LLMs, How Training Works

Fine-Tune vs Prompt vs RAG

Decide for three real work scenarios.

Status: Coming soon BeginnerVideo lessonAbout 15 min

Part of Train and Fine-Tune Models (17 of 45)

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Course

Fine-Tune Your Own LLM (Free GPU, Step by Step)

Udemy: coming soon

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RAG vs Fine-Tuning vs Long Context (and Cache-Augmented Generation)

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Chat and Instruction Data Formats

In this module

Fine-Tune vs Prompt vs RAG
How LLM Training Works: Tokens, Loss, Pre-training vs Fine-tuning
GPUs for Training: Colab, Kaggle, Cloud GPUs Safely
Pre-training at Scale, Explained
Scaling Laws and Compute-Optimal Training

The course this lesson belongs to

Track 10: Training LLMs

Fine-Tune Your Own LLM (Free GPU, Step by Step)

11 lessons

In production All levels