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Foundations
Intro to Large Language Models
Embeddings
Tokenization
Neural Networks and Transformers
Neural Networks
Traditional Language Models
The Transformer Architecture
Training and Fine-tuning
Data Preparation
Pre-Training Large Language Models
Post-Training Datasets
Supervised Fine-Tuning
Preference Alignment
Model Architecture Variants
Reasoning
Model Evaluation
Deployment and Optimization
Quantization
Inference Optimization
Running LLMs
Advanced Topics
Retrieval Augmented Generation
Tool Use & AI Agents
Text-to-SQL Systems
Multimodal
Securing LLMs
Large Language Model Operations (LLMOps)
Model Enhancement
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Fine-Tuning Large Language Models
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Fine-Tuning Large Language Models