A new technical paper titled “AutoEDA: Enabling EDA Flow Automation through Microservice-Based LLM Agents” was published by researchers at Duke University and University of Maryland. “Modern ...
The big question is whether LLM control becomes a standard “software upgrade” for MEX, or whether it stays a clever lab demo ...
With innovation happening at lightning speed, we are on the brink of a new era. One that promises to shift the paradigm of productivity and business reinvention to reimagine how we work, shop and ...
Microsoft has joined the race for large language model (LLM) application frameworks with its open source Python library, AutoGen. As described by Microsoft, AutoGen is “a framework for simplifying the ...
LangGraph has been used to create a multi-agent large language model (LLM) coding framework. This framework is designed to automate various software development tasks, including coding, testing, and ...
By replacing repeated fine‑tuning with a dual‑memory system, MemAlign reduces the cost and instability of training LLM judges ...
A new learning paradigm developed by University College London (UCL) and Huawei Noah’s Ark Lab enables large language model (LLM) agents to dynamically adapt to their environment without fine-tuning ...
Back in the early 1990s, I worked in a large telecoms research lab, as part of the Advanced Local Loop group. Our problem domain was the “last mile”—getting services to peoples’ homes. One of my ...