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.
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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