A fundamental flaw leaves LLMs strikingly vulnerable to attack
“When you and I are talking, I can tell which words are coming out of my mouth because I can ...
Tag: LLMs
LLMs are stuck in a groupthink groove. This startup is trying to get them out.
Springboards realized that parameters were blunt instruments for what it wanted to do. It does not make sense to dial ...
A startup claims it broke through a bottleneck that’s holding back LLMs
SubQ won’t replace existing top models across the board, but it could offer huge increases in speed at a fraction ...
From Prompt to Prediction: Understanding Prefill, Decode, and the KV Cache in LLMs
In the previous article, we saw how a language model converts logits into probabilities and samples the next token. But ...
LLMs contain a LOT of parameters. But what’s a parameter?
When a model is trained, each word in its vocabulary is assigned a numerical value that captures the meaning of ...
FACTS Benchmark Suite: a new way to systematically evaluate LLMs factuality
Large language models (LLMs) are increasingly becoming a primary source for information delivery across diverse use cases, so it’s important ...
Mastering JSON Prompting for LLMs
In this article, you will learn how to design, prompt, and validate large language model outputs as strict JSON so ...
10 Python One-Liners for Calling LLMs from Your Code
Image by Author Introduction You don’t always need a heavy wrapper, a big client class, or dozens of lines of ...
Forcing LLMs to be evil during training can make them nicer in the long run
For this study, Lindsey and his colleagues worked to lay down some of that groundwork. Previous research has shown that ...
This data set helps researchers spot harmful stereotypes in LLMs
“I hope that people use as a diagnostic tool to identify where and how there might be issues in a ...
