While tutorials and videos help beginners get started, books offer a deeper, structured understanding of AI engineering. For anyone working with Large Language Models (LLMs), prompt engineering, ...

Covers the most important AI engineering topics, including large language models (LLMs), prompt engineering, RAG, AI agents, and MLOps. Features practical books that help developers build, deploy, and ...

For intermediate learners currently studying. This is the third in the series (Practical Edition). We will use Amazon S3 Vectors, which I introduced last time as 'existing services evolving into AI,' ...

Retrieval-augmented generation enhances the performance of AI agents by expanding their recall. It can do this in three ...

The new service automates embeddings, indexing, and connectors to help developers focus on building AI apps instead of maintaining data pipelines.

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...

This is a learner-focused project where you'll build a complete research assistant system that automatically fetches academic papers, understands their content, and answers your research questions ...