Models

On the Challenge of Converting TensorFlow Models to PyTorch

Within the interest of managing reader expectations and stopping disappointment, we would love to start by stating that this post does not provide a totally satisfactory solution to the issue described within the title. We are...

A wiser way for big language models to take into consideration hard problems

To make large language models (LLMs) more accurate when answering harder questions,...

LLM-as-a-Judge: What It Is, Why It Works, and The way to Use It to Evaluate AI Models

concerning the idea of using AI to judge AI, also often called “LLM-as-a-Judge,” my response was: We live in a world where even toilet paper is marketed as “AI-powered.” I assumed this was just...

How Relevance Models Foreshadowed Transformers for NLP

— that he saw further only by standing on the shoulders of giants — captures a timeless truth about science. Every breakthrough rests on countless layers of prior progress, until someday … all...

World models go mainstream

Good morning, AI enthusiasts. We have heard loads of commentary about world models being the long run, but the general public has had few ways to meaningfully access them. AI 'godmother' Fei-Fei Li just...

Method teaches generative AI models to locate personalized objects

Say an individual takes their French Bulldog, Bowser, to the dog park....

How the Rise of Tabular Foundation Models Is Reshaping Data Science

Tabular Data! Recent advances in AI—starting from systems able to holding coherent conversations to those generating realistic video sequences—are largely attributable to artificial neural networks (ANNs). These achievements have been made possible by algorithmic...

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