Nick Frosst, Co-founder of Cohere, previously at Google Brain alongside AI pioneer Geoff Hinton, shares insights on AI's future in business. He discusses Cohere's Command R models, which enhance language capabilities using retrieval augmented generation (RAG). Nick critiques the chase for AGI, emphasizing specialization in LLMs over generalization. He also touches on ethical data use in AI, the evolving role of software engineers in machine learning, and even gives a nod to his indie band, Good Kid, showcasing the intersection of creativity and technology.

Nick Frosst, co-founder of the $5.5B AI startup Cohere, shares insights from his journey in the enterprise AI landscape. He argues that while large language models (LLMs) are powerful, they won't achieve artificial general intelligence. Nick emphasizes the importance of solving real problems rather than leveraging AI for its own sake and considers ChatGPT a UI/UX revolution. He offers advice for founders about navigating intense competition and the need for a niche to thrive in the AI ecosystem.

Nick Frosst, Co-founder of Cohere, dives into the booming enterprise AI sector, shedding light on the true potential of AI without the bubble fears. He discusses the evolution of language models and their practical applications in business, emphasizing multilingual capabilities. Frosst also tackles the challenges of regulatory frameworks in North America and how they impact AI growth. The conversation intrigues with insights on the delicate balance between innovation and sustainability in technology.

Nick Frosst, an innovator at Cohere, discusses the booming world of enterprise AI and the building of natural language models. He argues that the current AI trend is here to stay, dismissing bubble theories. Frosst emphasizes the importance of multilingual capabilities and AI’s potential for sustainable practices. He also dives into the complexities of fundraising, regulatory challenges, and the necessity for responsible AI development. Tune in for insights on AI's future and its impacts on various industries!

Nick Frosst, co-founder of Cohere, discusses the unique approach to model training like retrieval augmented generation, tokenization strategies, and challenges in debugging language models. They explore the significance of large language models with text prompts, focusing on efficient problem-solving in enterprise applications and the debate on model size vs synthetic data for AI development.