We Raised $8M Series A to Continue Building Experiment Tracking and Model Registry That “Just Works”

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Archive for Cathal Horan

Transformer models for textual prediction

Natural Language Processing

Transformer Models for Textual Data Prediction

Transformer models such as Google's BERT and Open AI’s GPT3 continue to change how we think about Machine Learning (ML) and Natural Language Processing (NLP). Look no further than GitHub’s recent ...

by Cathal Horan

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Unmasking BERT The Key to Transformer Model Performance

Unmasking BERT: The Key to Transformer Model Performance

by Cathal Horan, May 18th, 2021

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Understanding Vectors From a Machine Learning Perspective

Understanding Vectors From a Machine Learning Perspective

by Cathal Horan, April 24th, 2021

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10 Things You Need to Know About BERT and the Transformer Architecture That Are Reshaping the AI Landscape

10 Things You Need to Know About BERT and the Transformer Architecture That Are Reshaping the AI Landscape

by Cathal Horan, March 29th, 2021

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Wasserstein Distance and Textual Similarity

Wasserstein Distance and Textual Similarity

by Cathal Horan, February 24th, 2021

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Training, Visualizing, and Understanding Word Embeddings Deep Dive Into Custom Datasets

Training, Visualizing, and Understanding Word Embeddings: Deep Dive Into Custom Datasets

by Cathal Horan, January 25th, 2021

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GPT 3 BERT language models

Can GPT-3 or BERT Ever Understand Language?⁠—The Limits of Deep Learning Language Models

by Cathal Horan, November 11th, 2020

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