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Executive Summary
Generative AI (GenAI) represents a paradigm shift in artificial intelligence, offering unprecedented capabilities in content creation, problem-solving, and process automation. This guide provides an in-depth technical overview of GenAI, its current applications across various industries, and strategic considerations for enterprise adoption.
It aims to equip business leaders and technical teams with the knowledge necessary to navigate the complex landscape of GenAI technologies and their implications.
1. Understanding Generative AI: Technical Deep Dive
1.1 Definition and Core Concepts
- Generative AI (GenAI): AI systems capable of creating new content, including text, images, audio, video, code, and 3D models.
- Foundation Models: Large-scale AI models trained on vast, diverse datasets, serving as the basis for various applications through fine-tuning or prompt engineering.
- Prompt Engineering: The art and science of effectively communicating with GenAI systems to produce desired outputs.
Transfer Learning (TL): The ML technique of applying knowledge gained from training on one task to a different but related task, with the goal of boosting performance by interactive learning.
“Generative AI (GenAI) represents a paradigm shift in artificial intelligence, offering unprecedented capabilities in content creation, problem-solving, and process automation.”
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