Published May 3, 2019

The Transformer

Dive into the world of transformers with Kyle Polich and guest Linhda as they unravel the complexities of word disambiguation, explore the transformative power of contextual word representation, and unveil the art of numerical mapping and vector space in natural language processing.

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Dexa/Kyle Polich

The Transformer

Topics covered

Popular Clips

Cracking the Code

Disambiguating Word Meanings

Understanding Transformer Algorithms

Enhancing Communication Skills

Word Embeddings Explained

Decoding Layer Insights

Episode Highlights

Disambiguation Challenges

Transformer Basics

Embedding Concepts

Related Episodes

BERT

Human vs Machine Transcription

Graph Transformations

word2vec

BERT is Magic

Neural Turing Machines

Transfer Learning

ELMo

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Understanding Neural Networks

Translation Automation

Deep Fakes

Transfer Learning

The Defeat of the Winograd Schema Challenge

Brain Inspired AI

The Transformer

Topics covered

Popular Clips

Episode Highlights

Disambiguation ChallengesThe discussion shifts to how humans naturally disambiguate word meanings using context, compared to the more mechanical approach of algorithms. Kyle Polich and Linhda explore how transformer models can enhance machine understanding by mimicking human cognitive processes.

Disambiguation Challenges

Transformer BasicsKyle Polich and Linhda explore the transformative power of transformers in natural language processing. They discuss how these models enhance contextual word representation and improve machine understanding of language.

Transformer Basics

Embedding ConceptsKyle Polich and Linhda explore the intricacies of numerical mapping and embedding visualization in word embeddings. They discuss how these techniques convert semantic meanings into vectors and represent concepts in vector space.

Embedding Concepts

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