Natural-language user interface

Related lectures (31)

Page 3 of 4

Addresses data collection, annotation processes, and biases in natural language processing.

Covers the impact of transformers in computer vision, discussing their architecture, applications, and advancements in various tasks.

Covers the role of Transformers in unifying various machine learning fields.

Covers neural word embeddings and methods for learning word representations in natural language processing.

Covers the development of transformers and their impact on attention mechanisms in NLP.

Covers advanced transformer concepts, focusing on pretraining and decoding techniques in NLP.

Discusses language models, focusing on fixed-context neural models and recurrent neural networks.

Explores the role of graphs in deep learning, focusing on their structure, applications, and techniques for processing graph data.

Explores the evolution of protein structure prediction with AlphaFold models and introduces OpenFold insights.

Covers contextual representations in NLP, focusing on ELMO and BERT architectures and their applications in various tasks.