Gheorghiu Building Data-Driven Applications with LlamaIndex

A practical guide to retrieval-augmented generation (RAG) to enhance LLM applications
1. Auflage 2024
ISBN: 978-1-80512-440-5
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 368 Seiten

Discover the immense potential of Generative AI and Large Language Models (LLMs) with this comprehensive guide. Learn to overcome LLM limitations, such as contextual memory constraints, prompt size issues, real-time data gaps, and occasional 'hallucinations'. Follow practical examples to personalize and launch your LlamaIndex projects, mastering skills in ingesting, indexing, querying, and connecting dynamic knowledge bases. From fundamental LLM concepts to LlamaIndex deployment and customization, this book provides a holistic grasp of LlamaIndex's capabilities and applications. By the end, you'll be able to resolve LLM challenges and build interactive AI-driven applications using best practices in prompt engineering and troubleshooting Generative AI projects.

Autoren/Hrsg.

Gheorghiu, Andrei

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Spracherkennung, Sprachverarbeitung
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen

Inhaltsverzeichnis

Table of Contents - Understanding Large Language Models
- LlamaIndex: The Hidden Jewel - An Introduction to the LlamaIndex Ecosystem
- Kickstarting Your Journey with LlamaIndex
- Ingesting Data into Our RAG Workflow
- Indexing with LlamaIndex
- Querying Our Data, Part 1 – Context Retrieval

- Querying Our Data, Part 2 – Postprocessing and Response Synthesis
- Building Chatbots and Agents with LlamaIndex
- Customizing and Deploying Our LlamaIndex Project
- Prompt Engineering Guidelines and Best Practices
- Conclusions and Additional Resources

Über Autor(innen)

Gheorghiu Andrei :

Andrei Gheorghiu is an experienced trainer, passionate about helping learners achieve their maximum potential. With a background in IT audit, information security, and IT service management, he has delivered training to over 10,000 students across different industries and countries. He brings expertise and empathy to his teaching as a trainer and quality reviewer of accredited ITIL training courses. He is also a Certified Information Systems Security Professional and Certified Information Systems Auditor interested in digital domains such as security management and artificial intelligence. He enjoys trail running, photography, video editing, and exploring the latest technological developments in his free time.