Скачать или смотреть Pre training vs Fine tuning | Learn LLMs in Sinhala Ep. 19

Discover the key differences between Pre-training and Fine-tuning in Large Language Models (LLMs)! In this video, we break down how pre-training builds a strong foundation for language understanding using massive datasets, and how fine-tuning adapts these models for specific tasks and domains like healthcare, legal, or finance. Learn about full fine-tuning, parameter-efficient fine-tuning (PEFT), adapters, LoRA, and prompt tuning. Perfect for AI enthusiasts, data scientists, and NLP learners looking to understand LLM development end-to-end.

Topics Covered:
What is Pre-training & its objectives
Fine-tuning methodologies & best practices
Comparison: Pre-training vs. Fine-tuning
When to pre-train and when to fine-tune
Efficient fine-tuning techniques like LoRA & adapters

Enhance your AI knowledge and learn how modern LLMs are trained and specialized!


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