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How Diffusion Models Work

Short Course・

How Diffusion Models Work

Learn and build diffusion models from the ground up, understanding each step. Learn about diffusion models in use today and implement algorithms to speed up sampling.

Deep Learning Diffusion Models GenAI Applications Generative Models

Finetuning Large Language Models

Short Course・

Finetuning Large Language Models

Discover when to use finetuning vs prompting for LLMs. Select suitable open-source models, prepare data, and train & evaluate for your specific domain.

Deep Learning Fine-Tuning Transformers

Introduction to on-device AI

Short Course・

Introduction to on-device AI

Deploy AI for edge devices and smartphones. Learn model conversion, quantization, and how to modify for deployment on diverse devices.

Data Processing Deep Learning Compression and Quantization On-Device AI

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

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

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