As a result, researchers are exploring ways to embed better logic into AI. The goal isn’t so much to make LLMs smarter; it’s ...
NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — using step-by-step reasoning.
Moving forward requires coordinated technical, policy, and educational responses. An outright ban on AI in peer review, as is ...
ChipAgents has introduced Renoir, an agentic large language model (LLM) whose name means “renew.” In early chip design ...
Learn how to evaluate LLM quality and limitations using a range of testing techniques, from unit and regression testing to ...
Two young Nepalis have founded an AI company that is on the cusp of takeoff after getting funding from a top accelerator ...
propmt: What is a Markov chain and how are they related to LLMs? Topic2Manim is a multi-agent system that orchestrates several specialized components to transform a topic into an educational video.
We present Preacher — an intelligent agent system that automatically transforms scientific papers into video abstracts. Inspired by how humans create video summaries, it adopts a top-down, ...
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