Efficient Model Customization
Saurabh discusses the advantages of fine-tuning smaller models to enhance efficiency and reduce costs, allowing for multiple fine-tunes on a single GPU. He emphasizes the importance of delivering real value to customers by prioritizing their needs over simply creating larger models. The conversation highlights the shift towards bringing models to data for improved privacy and performance, showcasing a pragmatic approach to model deployment.In this clip
From this podcast
Machine Learning Street Talk (MLST)
Cohere's SVP Technology - Saurabh Baji
Related Questions