The Potential of CoT for Reasoning: A Closer Look at Trace Dynamics
Chain-of-thought (CoT) prompting is a de-facto standard technique to elicit reasoning-like responses from large language…
Category: Machine Learning
Beyond a Single Extractor: Re-thinking HTML-to-Text Extraction for LLM Pretraining
One of the first pre-processing steps for constructing web-scale LLM pretraining datasets involves extracting text…
depyf: Open the Opaque Box of PyTorch Compiler for Machine Learning Researchers
PyTorch texttt{2.x} introduces a compiler designed to accelerate deep learning programs. However, for machine learning…
AMUSE: Audio-Visual Benchmark and Alignment Framework for Agentic Multi-Speaker Understanding
Recent multimodal large language models (MLLMs) such as GPT-4o and Qwen3-Omni show strong perception but…
The Hidden Cost of Agentic Failure
Agentic AI has clearly moved beyond buzzword status. McKinsey’s November 2025 survey shows that 62%…
Beyond Accuracy: 5 Metrics That Actually Matter for AI Agents
AI agents , or autonomous systems powered by agentic AI, have reshaped the current landscape…
Apple Workshop on Reasoning and Planning 2025
Reasoning and planning are the bedrock of intelligent AI systems, enabling them to plan, interact,…
Learning to Evict from Key-Value Cache
The growing size of Large Language Models (LLMs) makes efficient inference challenging, primarily due to…
How to Write a Good Spec for AI Agents
This post first appeared on Addy Osmani’s Elevate Substack newsletter and is being republished here…
Study: AI chatbots provide less-accurate information to vulnerable users
Research from the MIT Center for Constructive Communication finds leading AI models perform worse for…