Retrieval-augmented generation enhances the performance of AI agents by expanding their recall. It can do this in three ...

Multi-agent AI agent personality shapes outcomes in collaborative and negotiation workflows but not in structured coding, ...

[This repository accomponanies the Trace paper. It is a fully functional implementation of the platform for generative optimization described in the paper, and contains code necessary to reproduce the ...

Millions of AI agents and tools around the world have been imperiled by a critical vulnerability that can allow hackers to breach the servers running them and make off with sensitive data and ...

Abstract: Current benchmarks for evaluating large language model (LLM) agents, such as AgentBench, DeepEval, and IBM's Agentic Evaluation Toolkit, primarily emphasize final outcomes, often overlooking ...

AI agents have made single analytical steps much faster. Investigations have not changed much. An investigation is different from a step: it runs across days, it touches multiple data sources. The ...

Reading a book about bowling is not the same as actually bowling. If that resonates with you and you want to learn more about large language models, check out the LLM From Scratch project. The ...

Cybersecurity researchers have flagged a fresh set of packages that have been compromised by bad actors to deliver a self-propagating worm that spreads through stolen developer npm tokens. The malware ...

Abstract: Large Language Models (LLMs) are widely adopted for automated code generation with promising results. Although prior research has assessed LLM-generated code and identified various quality ...