Building Defensible Products with LLMs
Offered By: MLOps.community via YouTube
Course Description
Overview
Explore strategies for creating differentiated products using large language models (LLMs) in this 24-minute conference talk from the LLMs in Production series. Examine case studies of successful and unsuccessful companies to extract valuable lessons for building defensible products. Learn from Raza Habib, CEO and Co-founder of Humanloop, as he shares insights gained from his extensive experience in AI, including work at Google AI and Monolith AI. Discover how to leverage LLMs effectively while standing out in a competitive market where many are utilizing the same base models.
Syllabus
Building Defensible Products with LLMs // Raza Habib // LLMs in Production Conference Talk
Taught by
MLOps.community
Related Courses
Machine Learning Operations (MLOps): Getting StartedGoogle Cloud via Coursera Проектирование и реализация систем машинного обучения
Higher School of Economics via Coursera Demystifying Machine Learning Operations (MLOps)
Pluralsight Machine Learning Engineer with Microsoft Azure
Microsoft via Udacity Machine Learning Engineering for Production (MLOps)
DeepLearning.AI via Coursera