Ai Engineering : Building Applications With Foundation Models, Paperback by H…
Recent breakthroughs in AI have not only increased demand for AI products, they’ve also lowered the barriers to entry for those who want to build AI products. Everyone, including those with minimal or no prior AI experience, can now leverage AI models to build applications.
AI Engineering : Building Applications with Foundation Models by
AI Engineering : Building Applications with Foundation Models by Chip Huyen (2025, Trade Paperback). ISBN: 9781098166304.
AI Engineering: Building Applications with Foundation Models
Recent breakthroughs in AI have not only increased demand for AI products, they’ve also lowered the barriers to entry for those who want to build AI products. Everyone, including those with minimal or no prior AI experience, can now leverage AI models to build applications.
AI Engineering: Building Applications with Foundation Models (Paperback or Softb
Format: Paperback or Softback. Publication Date: 1/7/2025. Condition Guide. ISBN: 9781098166304. Your source for quality books at reduced prices. Item Availability.
Designing Machine Learning Systems: An Iterative Process for…
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications. Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders.
Designing Machine Learning Systems: An Iterative Process for Production-Ready
New Paperback
Designing Machine Learning Systems: An Iterative Process for Production-Ready Ap
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications (Paperback or Softback). By Huyen, Chip. Your source for quality books at reduced prices. Condition Guide. Item Availability.
Designing Machine Learning Systems: An Iterative Process for…
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications. Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders.
Designing Machine Learning Systems: An Iterative Process for Production-Ready Ap
Author Chip Huyen, co-founder of Claypot AI, considers each design decision–such as how to process and create training data, which features to use, how often to retrain models, and what to monitor–in the context of how it can help your system as a whole achieve its objectives.
Designing Machine Learning Systems: An Iterative Process for…
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications. Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders.