Miau Labs / Insight
The Inference Engineering Masterclass: Philip Kiely & Ali Taha, Baseten
Baseten's Philip Kiely and Ali Taha join the AI Engineer Podcast to discuss the importance of inference engineering in the AI infrastructure landscape. They cover the challenges of turning trained model weights into a fast, reliable, and affordable product at scale.
Baseten's Philip Kiely and Ali Taha join the AI Engineer Podcast to discuss the importance of inference engineering in the AI infrastructure landscape. They cover the challenges of turning trained model weights into a fast, reliable, and affordable product at scale. Inference engineering is a critical discipline in AI that requires specialized roles and infrastructure to optimize model performance and scalability.
Baseten's Philip Kiely and Ali Taha join the AI Engineer Podcast to discuss the importance of inference engineering in the AI infrastructure landscape. They cover the challenges of turning trained model weights into a fast, reliable, and affordable product at scale.
- Inference engineering is a critical discipline in AI that tackles the challenge of turning trained model weights into a fast, reliable, and affordable product at scale.
- Baseten's Philip Kiely and Ali Taha discuss the importance of inference engineering and its role in the AI infrastructure landscape.
- The Inference Engineering Masterclass covers autoregressive and diffusion engineering, highlighting the need for specialized roles and infrastructure in this field.
Miau Labs takeInference engineering is a critical discipline in AI that requires specialized roles and infrastructure to optimize model performance and scalability.