Efficiently Scaling and Deploying LLMs // Hanlin Tang // LLM's in Production Conference

// Abstract
Hanlin discusses the evolution of Large Language Models and the importance of efficient scaling and deployment. He emphasizes the benefits of a decentralized approach of many small specialized models over one giant AGI model controlled by a few companies. Hanlin explains the advantages of companies training their own custom models, such as data privacy concerns, and provides insights into when it is appropriate to build your own models and the available tooling for training and deployment.

// Bio …

abstract advantages agi benefits companies conference decentralized deployment evolution importance language language models large language models llm llms production scaling small