Scaling Generative AI
The discussion highlights the complexities involved in deploying large generative AI models, emphasizing the need for scalable infrastructure to support consumer applications. With models reaching up to 15 billion parameters, traditional approaches may no longer suffice, necessitating new strategies in machine learning operations. Insights on cost-saving opportunities with AWS accelerators further enhance the conversation, making it a must-listen for those in the field.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
679: The A.I. and Machine Learning Landscape — with investor George Mathew
Related Questions