This document explores foundation models and large language models, covering their training methodology, advantages in performance and productivity, as well as challenges related to compute costs and trustworthiness in enterprise applications.
This document introduces generative AI, its evolution from discriminative AI and the foundational models that enable creative content generation across text, images, video, and code.
This module explores the evolution from traditional AI to generative AI and foundation models, explaining modes of AI consumption, the importance of open knowledge, and the impact of value creation and extraction in the AI economy.
Explains the relationship between AI, machine learning, deep learning foundation models, generative AI, and large language models. Covers definitions, distinctions, and the evolution of foundational AI technologies.
This document provides a comprehensive introduction to generative AI, tracing its evolution from traditional AI to foundation models, and exploring its impact on software development and its relationship with machine learning deep learning, and LLMs.