Large Language Models at Scale - Challenges and Opportunities

Dive into a comprehensive podcast episode featuring Nils Reimers, Director of Machine Learning at Cohere, as he discusses large language models at scale. Explore the challenges of running models with billions of parameters on massive datasets, and learn about finding the right model size for specific tasks, model distillation, and innovative methods for transferring knowledge from large to smaller models. Gain insights into Nils' background, including his creation of the Sentence Transformers library, and his journey from IT security to machine learning. Discover the evolution of NLP, the potential of LLMs, and the challenges of catastrophic forgetting. Delve into discussions on neural search, adaptive models, latency issues, and the future of API-based solutions. Learn about Cohere's approach to open-source, competitive edge, and upcoming projects. Explore topics such as data silos, model updating, and the balance between making and saving money with AI technologies. Gain valuable insights into the world of large language models and their practical applications in various industries.