A new technical paper titled “EEsizer: LLM-Based AI Agent for Sizing of Analog and Mixed Signal Circuit” was published by researchers at The University of Edinburgh. “The design of Analog and ...

A new tool from Microsoft aims to bridge the gap between application development and prompt engineering. Overtaxed AI developers take note. One of the problems with building generative AI into your ...

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Large language models by themselves are less than meets the eye; the moniker “stochastic parrots” isn’t wrong. Connect LLMs to specific data for retrieval-augmented generation (RAG) and you get a more ...

What if evaluating the performance of large language models (LLMs) could be as precise and seamless as setting a GPS to your destination? With the rapid rise of LLM applications in everything from ...

In addition to linguistic prompts, large language models can also understand, interpret, and adapt their responses to heart frequency data. Dr. Morris Gellisch, previously of Ruhr University Bochum, ...

The rate of AI development is ushering in a new Moore’s law with the development doubling every few years according to some experts. According to Stanford, the rate of doubling is as frequent as every ...