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 ...

Researchers at the University of Science and Technology of China have developed a new reinforcement learning (RL) framework that helps train large language models (LLMs) for complex agentic tasks ...

Having spent years building and scaling artificial intelligence and machine language (AI/ML) solutions at AWS Bedrock and now at Intuit, I've witnessed firsthand the incredible advancements in large ...

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Back in the ancient days of machine learning, before you could use large language models (LLMs) as foundations for tuned models, you essentially had to train every possible machine learning model on ...

In the prior article, we compared the evolution of the Internet to that of today's large language models (LLMs), particularly examining Internet packets and LLM tokens. We noted parallels in ...

In today’s fast-paced AI world, industries are constantly seeking innovative solutions to enhance efficiency and drive growth. Imagine a tool that not only streamlines operations but also ...

The acquisition comes less than a week after Nvidia inked a $20 billion deal to license the technology of Groq Inc., a ...