Master retrieval-augmented generation (RAG) systems:
In this course, you will embark on a journey to master Retrieval-Augmented Generation (RAG) systems, starting with an introduction to the fundamentals. The initial section sets the stage by explaining the course structure and helping you set up your development environment. As you progress, you will...
Gespeichert in:
| Weitere beteiligte Personen: | |
|---|---|
| Format: | Elektronisch Video |
| Sprache: | Englisch |
| Veröffentlicht: |
[Birmingham, United Kingdom]
Packt Publishing
[2024]
|
| Ausgabe: | [First edition]. |
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781836646075/?ar |
| Zusammenfassung: | In this course, you will embark on a journey to master Retrieval-Augmented Generation (RAG) systems, starting with an introduction to the fundamentals. The initial section sets the stage by explaining the course structure and helping you set up your development environment. As you progress, you will delve into the intricacies of naive RAG, learning about its potential pitfalls and how to avoid them. The course then transitions to advanced RAG techniques, where you will explore methods for expanding generated answers, embedding text chunks, and performing similarity searches. Hands-on exercises will guide you through adding documents to vector stores, generating answers, and projecting embedded results on graphs. These practical sessions ensure you gain a thorough understanding of each concept. As you move forward, you'll tackle more complex RAG techniques such as query expansion with multiple queries, re-ranking with cross-encoders, and dense passage retrieval (DPR). Each section is designed to build your skills progressively, culminating in a comprehensive understanding of RAG systems. By the end, you will be equipped with the knowledge and skills to implement sophisticated RAG solutions in real-world applications. |
| Beschreibung: | Online resource; title from title details screen (O'Reilly, viewed July 30, 2024) |
| Umfang: | 1 Online-Ressource (1 video file (1 hr., 39 min.)) sound, color. |
| ISBN: | 9781836646075 1836646070 |
Internformat
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| 520 | |a In this course, you will embark on a journey to master Retrieval-Augmented Generation (RAG) systems, starting with an introduction to the fundamentals. The initial section sets the stage by explaining the course structure and helping you set up your development environment. As you progress, you will delve into the intricacies of naive RAG, learning about its potential pitfalls and how to avoid them. The course then transitions to advanced RAG techniques, where you will explore methods for expanding generated answers, embedding text chunks, and performing similarity searches. Hands-on exercises will guide you through adding documents to vector stores, generating answers, and projecting embedded results on graphs. These practical sessions ensure you gain a thorough understanding of each concept. As you move forward, you'll tackle more complex RAG techniques such as query expansion with multiple queries, re-ranking with cross-encoders, and dense passage retrieval (DPR). Each section is designed to build your skills progressively, culminating in a comprehensive understanding of RAG systems. By the end, you will be equipped with the knowledge and skills to implement sophisticated RAG solutions in real-world applications. | ||
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| discipline | Informatik |
| edition | [First edition]. |
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| id | ZDB-30-ORH-106607588 |
| illustrated | Not Illustrated |
| indexdate | 2025-01-17T11:22:10Z |
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| isbn | 9781836646075 1836646070 |
| language | English |
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| physical | 1 Online-Ressource (1 video file (1 hr., 39 min.)) sound, color. |
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| spelling | Master retrieval-augmented generation (RAG) systems [First edition]. [Birmingham, United Kingdom] Packt Publishing [2024] 1 Online-Ressource (1 video file (1 hr., 39 min.)) sound, color. zweidimensionales bewegtes Bild tdi rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Online resource; title from title details screen (O'Reilly, viewed July 30, 2024) In this course, you will embark on a journey to master Retrieval-Augmented Generation (RAG) systems, starting with an introduction to the fundamentals. The initial section sets the stage by explaining the course structure and helping you set up your development environment. As you progress, you will delve into the intricacies of naive RAG, learning about its potential pitfalls and how to avoid them. The course then transitions to advanced RAG techniques, where you will explore methods for expanding generated answers, embedding text chunks, and performing similarity searches. Hands-on exercises will guide you through adding documents to vector stores, generating answers, and projecting embedded results on graphs. These practical sessions ensure you gain a thorough understanding of each concept. As you move forward, you'll tackle more complex RAG techniques such as query expansion with multiple queries, re-ranking with cross-encoders, and dense passage retrieval (DPR). Each section is designed to build your skills progressively, culminating in a comprehensive understanding of RAG systems. By the end, you will be equipped with the knowledge and skills to implement sophisticated RAG solutions in real-world applications. Natural language processing (Computer science) Artificial intelligence Traitement automatique des langues naturelles Intelligence artificielle artificial intelligence Instructional films Nonfiction films Internet videos Films de formation Films autres que de fiction Vidéos sur Internet Dichone, Paulo MitwirkendeR ctb Packt Publishing, Verlag pbl |
| spellingShingle | Master retrieval-augmented generation (RAG) systems Natural language processing (Computer science) Artificial intelligence Traitement automatique des langues naturelles Intelligence artificielle artificial intelligence Instructional films Nonfiction films Internet videos Films de formation Films autres que de fiction Vidéos sur Internet |
| title | Master retrieval-augmented generation (RAG) systems |
| title_auth | Master retrieval-augmented generation (RAG) systems |
| title_exact_search | Master retrieval-augmented generation (RAG) systems |
| title_full | Master retrieval-augmented generation (RAG) systems |
| title_fullStr | Master retrieval-augmented generation (RAG) systems |
| title_full_unstemmed | Master retrieval-augmented generation (RAG) systems |
| title_short | Master retrieval-augmented generation (RAG) systems |
| title_sort | master retrieval augmented generation rag systems |
| topic | Natural language processing (Computer science) Artificial intelligence Traitement automatique des langues naturelles Intelligence artificielle artificial intelligence Instructional films Nonfiction films Internet videos Films de formation Films autres que de fiction Vidéos sur Internet |
| topic_facet | Natural language processing (Computer science) Artificial intelligence Traitement automatique des langues naturelles Intelligence artificielle artificial intelligence Instructional films Nonfiction films Internet videos Films de formation Films autres que de fiction Vidéos sur Internet |
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