Jonathan Ross, CEO and Founder of
Groq, a leading provider of Inference Processors for AI solutions, engages in a compelling discussion with Daniel Newman from The Futurum Group about the rapid proliferation of Large Language Models (LLMs). Ross shares deeply experienced insights on why business strategists need to recognize that LLMs encompass more than mere words in their understanding of language.
This groundbreaking technology is poised to impact nearly all business sectors, ranging from Coding to Finance, Life Sciences to Web Search, and more. Consequently, it necessitates advanced AI Inference Processors to unlock optimal performance and value while conserving power. Ross expounds on how
Groq solutions perfectly align with Transformer class models, particularly in the field of Natural Language Processing (NLP) and LLMs. Furthermore, he highlights
Groq's recent work running LLaMA by Meta, another prominent LLM, on their kernel-less
Groq compiler, adding to the extensive list of hundreds of industry models benefiting from their innovative technology.
