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Lecture 9: Full Course Recap, 2025 Trends and Future of LLMs
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Lecture 9: Full Course Recap, 2025 Trends and Future of LLMs
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Lecture 8: LLM Evaluation: Human Ratings, Rule-Based Metrics and LLM-as-a-Judge
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Lecture 8: LLM Evaluation: Human Ratings, Rule-Based Metrics and LLM-as-a-Judge
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Lecture 7: Retrieval Augmented Generation, Tool Calling and LLM Agents
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Lecture 7: Retrieval Augmented Generation, Tool Calling and LLM Agents
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Lecture 6: LLM Reasoning, GRPO and the DeepSeek R1 Training Pipeline
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Lecture 6: LLM Reasoning, GRPO and the DeepSeek R1 Training Pipeline
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Lecture 5: LLM Preference Alignment, RLHF and Direct Preference Optimization
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Lecture 5: LLM Preference Alignment, RLHF and Direct Preference Optimization
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Lecture 4: LLM Pre-training, Supervised Fine Tuning and Parameter-Efficient Adaptation
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Lecture 4: LLM Pre-training, Supervised Fine Tuning and Parameter-Efficient Adaptation
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Lecture 3: Large Language Models, Generation Strategies and Inference Optimizations
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Lecture 3: Large Language Models, Generation Strategies and Inference Optimizations
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Lecture 2: Transformer Architecture Improvements and BERT Deep Dive
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Lecture 2: Transformer Architecture Improvements and BERT Deep Dive
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Lecture 1: Introduction to Transformers and Large Language Models
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Lecture 1: Introduction to Transformers and Large Language Models
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CS 336: Language Models from Scratch - Course Introduction and Tokenization Fundamentals
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CS 336: Language Models from Scratch - Course Introduction and Tokenization Fundamentals
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Resource Accounting and Systems Fundamentals for LLM Training
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Resource Accounting and Systems Fundamentals for LLM Training
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Modern Transformer Architectures and Hyperparameter Engineering
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Modern Transformer Architectures and Hyperparameter Engineering
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Lecture Notes: Advanced Transformer Architectures: Linear Attention and Mixture of Experts
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Lecture Notes: Advanced Transformer Architectures: Linear Attention and Mixture of Experts
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Lecture Notes: Parallelism Fundamentals for Multi-GPU Language Model Training
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Lecture Notes: Parallelism Fundamentals for Multi-GPU Language Model Training
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Lecture Notes: Advanced Parallelism for Large Language Model Training
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Lecture Notes: Advanced Parallelism for Large Language Model Training
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Lecture Notes: Neural Scaling Laws Fundamentals
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Lecture Notes: Neural Scaling Laws Fundamentals
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Lecture Notes: AI Inference Fundamentals and Optimization Techniques
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Lecture Notes: AI Inference Fundamentals and Optimization Techniques
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