In the chaotic world of Large Language Model (LLM) optimization, engineers have spent the last few years developing increasingly esoteric rituals to get better answers. We’ve seen "Chain of Thought" ...
This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...
A year ago, to the day, I wrote a column (“Americans really need to relax and stop taking national politics so seriously”) in which I argued that modern Americans are far too concerned with politics ...
A team of researchers published a comprehensive study on November 20 analyzing over 192,000 reasoning traces from large language models (LLMs), revealing that AI systems rely on shallow, linear ...
The success of DeepSeek’s powerful artificial intelligence (AI) model R1 — that made the US stock market plummet when it was released in January — did not hinge on being trained on the output of its ...
First peer-reviewed study shows how a Chinese start-up firm made the market-shaking LLM for US$300,000. R1 is designed to excel at ‘reasoning’ tasks such as mathematics and coding, and is a cheaper ...
Singapore-based AI startup Sapient Intelligence has developed a new AI architecture that can match, and in some cases vastly outperform, large language models (LLMs) on complex reasoning tasks, all ...
Even the most powerful AI models, including ChatGPT, can make surprisingly basic errors when navigating ethical medical decisions, a new study reveals. Researchers tweaked familiar ethical dilemmas ...
Abstract: Inductive relation prediction aims to predict missing connections between entities unseen during training. Recent approaches adopt binary (positive or negative) training labels, which ...
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