4 docs tagged with "transformers"

Master the cutting edge with projects in LLM Agents, Generative Adversarial Networks (GANs), and Reinforcement Learning.

Understanding how multiple attention 'heads' allow Transformers to capture diverse linguistic and spatial relationships simultaneously.

Understanding how models weigh the importance of different parts of an input sequence using Queries, Keys, and Values.

A comprehensive deep dive into the Transformer architecture, including Encoder-Decoder stacks and Positional Encoding.