Blog Posts | Joshua Berkowitz

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Is In-Context Learning - Learning? Evidence From 1.89M Predictions

In-context learning (ICL) is the claim that an autoregressive large language model can learn a task from a handful of examples in its prompt, then generalize without updating weights. The paper Is In-...

chain-of-thought formal languages generalization ICL in-context learning OOD prompting

Nov 1, 2025

0 1177

Papers

Unlocking New AI Potential with Deep Researcher and Test-Time Diffusion

Cutting-edge artificial intelligence (AI) models excel at many tasks, but their performance often depends on how well they can adapt to new, unseen data. Deep Researcher with Test-Time Diffusion is a ...

adaptation AI research deep learning generalization machine learning reasoning test-time diffusion

Sep 20, 2025

0 5599

News

Revolutionizing AI Reasoning: Microsoft Research's Breakthroughs for Language Models

Artificial intelligence is advancing at a remarkable pace, but its true leap lies in enhancing reasoning skills. Microsoft Research is at the forefront, developing innovative approaches that emp...

AI research formal methods generalization language models machine learning mathematics reasoning symbolic reasoning

Jun 28, 2025

0 2871

News

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