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Attention in Transformers: Concepts and Code in PyTorch

Short Course

Attention in Transformers: Concepts and Code in PyTorch

Understand and implement the attention mechanism, a key element of transformer-based LLMs, using PyTorch.

Deep Learning Embeddings GenAI Applications Machine Learning NLP Transformers

How Transformer LLMs Work

Short Course

How Transformer LLMs Work

Understand the transformer architecture that powers LLMs to use them more effectively.

Deep Learning Embeddings GenAI Applications LLMOps Machine Learning NLP RAG Transformers

Jay Alammar, Maarten Grootendorst

Improving Accuracy of LLM Applications

Short Course

Improving Accuracy of LLM Applications

Systematically improve the accuracy of LLM applications with evaluation, prompting, and memory tuning.

AI Frameworks Agents Evaluation and Monitoring Fine-Tuning Machine Learning Prompt Engineering

Pretraining LLMs

Short Course

Pretraining LLMs

Learn the essential steps to pretrain a large language model from scratch.

Deep Learning Evaluation and Monitoring Fine-Tuning GenAI Applications LLMOps Machine Learning Mathematical Foundations Transformers