Claims Browser

AI agents are on the rise.

"The rise of AI agents"

The book 'AI Agents in Action' has been updated with a second edition.

"New! Updated! 2nd Edition!"

The book 'Business Intelligence Career Master Plan' offers proven techniques and actionable insights to launch and advance a business intelligence career.

"Business Intelligence Career Master Plan: Launch and advance your BI career with proven techniques and actionable insights"

The book covers the implementation and optimization of AI agents and agentic systems.

"Implement and Optimize AI Agents and Agentic Systems through design and implementation of AI agents"

The book provides practical frameworks for effective AI team building and team management.

"Explore practical frameworks for effective AI team building and team management"

The book enables readers to master AI leadership with strategies to innovate, overcome challenges, and drive business growth.

"Master AI leadership with strategies to innovate, overcome challenges, & drive business growth"

The main topics in agentic AI engineering include reasoning loops, core components, system prompt and tool design, and building single- and multi-agent systems in Python.

"Main Topics: • How autonomous systems differ from automation • Reasoning loops and core components • Designing system prompts and tools • Building single- and multi-agent systems in Python"

Agentic AI engineering is about designing, building, and prompting LLM-based agents for systems that reason and act autonomously and are ready for real-world deployment.

"Agentic AI Engineering for Systems that Reason and Act Autonomously – Design, Build, and Prompt LLM-Based Agents for Real-World Deployment"

This book provides a developer's guide to generative AI using Python, covering pretrained LLMs, vector databases, retrieval augmented generation, and agentic systems.

"“Generative AI with Python: The Developer’s Guide to Pretrained LLMs, Vector Databases, Retrieval Augmented Generation, and Agentic Systems”"

RAG-enhanced applications can be implemented using Streamlit.

"Implement a RAG-enhanced application using Streamlit"

The vector space can be visualized and explored with Elastic's 'Search Next' feature.

"Visualize the vector space and explore "Search Next" with Elastic"

Vector-based bot detection can be used for cybersecurity.

"Use vector-based bot detection for cybersecurity"

Log prediction can be implemented for next-generation observability.

"Implement log prediction for next-generation observability"

Vector search can detect and mask personally identifiable information (PII).

"Detect and mask personally identifiable information"

Image vector search has applications worth exploring.

"Explore image vector search and its applications"

Vector search can be used to optimize performance.

"Optimize performance by harnessing the capabilities of vector search"

Vector Search for Practitioners with Elastic is a toolkit for building NLProc solutions for search, observability, and security.

"Vector Search for Practitioners with Elastic — A toolkit for building NLProc solutions for search, observability, and security"

The book covers topics from introduction to OpenSearch to installation, data ingestion, querying, visualization, security, and performance optimization, with practical examples and tutorials for hands-on learning.

"Starting with an introduction to OpenSearch, you’ll get to grips with the key features before delving into essential topics such as installing OpenSearch, ingesting data, crafting queries, visualizing results, ensuring security, and optimizing performance. Each concept is accompanied by practical examples and tutorials, allowing you to grasp the material through hands-on experience."