2025-07-21
Large language models are supposed to handle millions of tokens - the fragments of words and characters that make up their inputs - at once. But the longer the context, the worse their performance gets.
The article Yet another study finds that overloading LLMs with information leads to worse results appeared first on THE DECODER.
[...]2025-09-01
A new study in JAMA Network Open raises fresh doubts about whether large language models (LLMs) can actually reason through medical cases or if they're just matching patterns they've seen be [...]
2025-04-22
A new study from Tsinghua University and Shanghai Jiao Tong University examines whether reinforcement learning with verifiable rewards (RLVR) helps large language models reason better—or simply make [...]
2025-08-13
One thing I need to make clear right from the start: this is a review of Norton VPN (formerly Norton Secure VPN, and briefly Norton Ultra VPN) as a standalone app, not of the VPN feature in the Norton [...]
2025-06-07
LLMs designed for reasoning, like Claude 3.7 and Deepseek-R1, are supposed to excel at complex problem-solving by simulating thought processes. But a new study by Apple researchers suggests that these [...]
2025-06-06
Reverse image searching is a quick and easy way to trace the origin of an image, identify objects or landmarks, find higher-resolution alternatives or check if a photo has been altered or used elsewhe [...]
2025-08-11
The latest example of bias permeating artificial intelligence comes from the medical field. A new study surveyed real case notes from 617 adult social care workers in the UK and found that when large [...]