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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 LearningEmbeddingsGenAI ApplicationsMachine LearningNLPTransformers
  • StatQuest
StatQuest
How Transformer LLMs Work
Short Course

How Transformer LLMs Work

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

Deep LearningEmbeddingsGenAI ApplicationsLLMOpsMachine LearningNLPRAGTransformers
  • Jay Alammar, Maarten Grootendorst
Jay Alammar, Maarten Grootendorst
Pretraining LLMs
Short Course

Pretraining LLMs

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

Deep LearningEvaluation and MonitoringFine-TuningGenAI ApplicationsLLMOpsMachine LearningMathematical FoundationsTransformers
  • Upstage
Upstage
Prompt Engineering with Llama 2&3
Short Course

Prompt Engineering with Llama 2&3

Learn best practices for prompting and selecting among Meta Llama 2 & 3 models. Interact with Meta Llama 2 Chat, Code Llama, and Llama Guard models.

AI SafetyGenAI ApplicationsGenerative ModelsPrompt EngineeringTransformers
  • Meta
Meta
ChatGPT Prompt Engineering for Developers
Short Course

ChatGPT Prompt Engineering for Developers

Learn the fundamentals of prompt engineering for ChatGPT. Learn effective prompting, and how to use LLMs for summarizing, inferring, transforming, and expanding.

GenAI ApplicationsPrompt EngineeringTransformers
  • OpenAI
OpenAI