Building Data-Driven Applications with LlamaIndex: A practical guide to retrieval-augmented generation (RAG) to enhance LLM applications

Name: Building Data-Driven Applications with LlamaIndex: A practical guide to retrieval-augmented generation (RAG) to enhance LLM applications
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ISBN: 9781805124405

Kirjailija
- Andrei Gheorghiu
Kustantaja
- Packt Publishing

Lunasta tarjous

Kieli: Englanti
Format
Kategoria: Tietokirjallisuus

Generative AI, such as Large Language Models (LLMs) possess immense potential. These models simplify problems but have limitations, including contextual memory constraints, prompt size issues, real-time data gaps, and occasional "hallucinations."

With this book, you’ll go from preparing the environment to gradually adding features and deploying the final project. You’ll gradually progress from fundamental LLM concepts to exploring the features of this framework. Practical examples will guide you through essential steps for personalizing and launching your LlamaIndex projects. Additionally, you’ll overcome LLM limitations, build end-user applications, and acquire skills in ingesting, indexing, querying, and connecting dynamic knowledge bases, covering Generative AI and LLM, as well as LlamaIndex deployment. As you approach the conclusion, you’ll delve into customization, gaining a holistic grasp of LlamaIndex's capabilities and applications.

By the end of the book, you’ll be able to resolve challenges in LLMs and build interactive AI-driven applications by applying best practices in prompt engineering and troubleshooting Generative AI projects.

Julkaisupäivä

E-kirja: 10. toukokuuta 2024

Lunasta tarjous

Building Data-Driven Applications with LlamaIndex: A practical guide to retrieval-augmented generation (RAG) to enhance LLM applications

Kirjailija
- Andrei Gheorghiu
Kustantaja
- Packt Publishing

Kieli: Englanti
Format
Kategoria: Tietokirjallisuus

Generative AI, such as Large Language Models (LLMs) possess immense potential. These models simplify problems but have limitations, including contextual memory constraints, prompt size issues, real-time data gaps, and occasional "hallucinations."

With this book, you’ll go from preparing the environment to gradually adding features and deploying the final project. You’ll gradually progress from fundamental LLM concepts to exploring the features of this framework. Practical examples will guide you through essential steps for personalizing and launching your LlamaIndex projects. Additionally, you’ll overcome LLM limitations, build end-user applications, and acquire skills in ingesting, indexing, querying, and connecting dynamic knowledge bases, covering Generative AI and LLM, as well as LlamaIndex deployment. As you approach the conclusion, you’ll delve into customization, gaining a holistic grasp of LlamaIndex's capabilities and applications.

By the end of the book, you’ll be able to resolve challenges in LLMs and build interactive AI-driven applications by applying best practices in prompt engineering and troubleshooting Generative AI projects.

Julkaisupäivä

E-kirja: 10. toukokuuta 2024

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Building Data-Driven Applications with LlamaIndex: A practical guide to retrieval-augmented generation (RAG) to enhance LLM applications

Building Data-Driven Applications with LlamaIndex: A practical guide to retrieval-augmented generation (RAG) to enhance LLM applications

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