Large Language Models: Beyond Proofs of Concept

Federico Bianchi, a post-doctoral researcher at Stanford University, joins Hugo Bowne-Anderson to discuss the current state of large language models (LLMs) and their potential for sustainable business value. They explore the capabilities and limitations of LLMs, practical ways to get started with them today, and how to productionize LLMs within existing software stacks. Ethical considerations, privacy concerns, and the risks of content regurgitation are also covered.

In this episode Federico covers:

• What LLMs can and cannot do today
• How to get started with LLMs and stay updated on the field
• The role of LLMs in building sustainable business value and defensible moats
• Strategies for safely incorporating LLMs into production systems

_{This episode was recorded as a fireside chat on 05/03/2023.}