This podcast episode explores the potential of large language models (LLMs) in the enterprise market and the key factors for their success. The guest, Yoav, co-founder and co-CEO of AI21, discusses the integration of deep learning with symbolic AI techniques, emphasizing the importance of language as a window into human intelligence. The episode highlights the practical applications of LLMs in enterprises, including contextual answers, summarization, and content generation. The speakers also discuss the need for general-purpose models, reliability, efficiency, and the evolution of AI systems. They introduce Jamba, a model that combines transformer models with Structured Space State Models (SSSMs), and emphasize the importance of scalability and efficiency. The episode concludes with a discussion on the release of Meta's LLAMA3, the importance of systematic thinking, the evolution of language models, and AI21's vision for the future of enterprise AI.
Sign in to continue reading, translating and more.
Continue