Making AI Work: Fine-Tuning, Inference, Memory | Sharon Zhou, CEO, Lamini
The MAD Podcast with Matt Turck
Memory Tuning for Improved AI Accuracy
The chapter explores the concept of memory tuning in AI models to enhance accuracy on specific facts by reducing loss to zero. It covers techniques such as fine-tuning with Laura for efficiency, utilizing a mixture of experts for faster responses and lower costs, and implementing memory tuning in production for enterprise clients. The discussion emphasizes the potential of memory tuning as a new frontier for boosting AI model accuracy in enterprise applications.
00:00
Transcript
Play full episode
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
