Module 3: Large Language Models (LLMs)
Welcome to the comprehensive guide on Large Language Models (LLMs). This module covers the fundamental concepts, architecture, training, and deployment of modern language models.
What are Large Language Models?
Large Language Models (LLMs) are artificial intelligence systems trained on vast amounts of text data to understand and generate human-like language. These models use deep learning architectures, primarily transformers, to process and generate text with remarkable sophistication.
Module Overview
Chapter 1: LLM Fundamentals
- Understanding transformer architecture
- How LLMs process and generate text
- Key concepts: tokens, embeddings, attention
- Popular LLM families and their characteristics
Chapter 2: Model Architecture
- Deep dive into transformer architecture
- Attention mechanisms and self-attention
- Multi-head attention and layer normalization
- Architectural variations and improvements
Chapter 3: Training & Fine-tuning
- Pre-training methodologies
- Supervised fine-tuning techniques
- Reinforcement Learning from Human Feedback (RLHF)
- Parameter-efficient fine-tuning methods
Chapter 4: Deployment Strategies
- Model serving architectures
- Inference optimization techniques
- Scaling strategies for production
- Cost optimization and resource management
Chapter 5: Performance Optimization
- Quantization and pruning techniques
- Hardware acceleration (GPUs, TPUs)
- Caching and batching strategies
- Monitoring and performance metrics
Learning Objectives
By the end of this module, you will:
- Understand the fundamental architecture of modern LLMs
- Know how to fine-tune models for specific tasks
- Be able to deploy LLMs in production environments
- Master optimization techniques for performance and cost
- Understand the trade-offs in model selection and deployment
Prerequisites
- Basic understanding of machine learning
- Familiarity with neural networks
- Programming experience (Python preferred)
- Understanding of deep learning frameworks
Let's explore the fascinating world of Large Language Models!