Module 16 of 22|90 min
Fine-tuning LLMs
Adapting models to tasks
Why Fine-tune LLMs?10:00
Module Content
Why Fine-tune LLMs?
10:00
Fine-tuning Strategies Overview
15 min
Full Fine-tuning vs PEFT
20:30
Setting Up Training Environment
15 min
LoRA and QLoRA Explained
18:00
Fine-tuning with Hugging Face
25 min
Evaluation and Iteration
12:45
Module Quiz
10 questions
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All Modules
1Introduction to NLP2Text Preprocessing3Bag of Words & TF-IDF4Word Embeddings5Sequence Models for NLP6Attention Mechanisms7Transformer Architecture8BERT Deep Dive9GPT Architecture10Text Classification11Named Entity Recognition12Question Answering13Text Generation14Summarization15Machine Translation16Fine-tuning LLMs17Prompt Engineering18RAG Systems19LLM Evaluation20Responsible AI in NLP21Production NLP Systems22Capstone: Build a Chatbot