Ai Engineering

A Comprehensive Guide to Designing, Developing, and Deploying AI-Driven Solutions

In the rapidly evolving landscape of technology, artificial intelligence (AI) has emerged as a transformative force, reshaping how software is designed, developed, and deployed.

From machine learning algorithms to ethical considerations, this book provides a clear and accessible overview for professionals, students, and enthusiasts seeking to understand the intersection of AI and software engineering.

Machine Learning

Machine learning, a cornerstone of artificial intelligence, empowers systems to learn from data and enhance their performance without explicit programming. It is a pivotal element in AI software engineering, enabling the creation of intelligent, adaptive software solutions.

Performance Optimization

Optimizing large language models (LLMs) involves techniques like Retrieval-Augmented Generation (RAG), fine-tuning, and prompt engineering, each offering distinct ways to enhance AI performance.