Harnessing LLMs & text-embeddings API with Google Vertex AI:
This course takes you on an in-depth journey through the capabilities of Google Vertex AI's Text-Embeddings API. Beginning with an overview of the prerequisites and course structure, you'll establish a solid foundation by setting up your development environment and configuring your Google...
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/-/9781836644859/?ar |
| Zusammenfassung: | This course takes you on an in-depth journey through the capabilities of Google Vertex AI's Text-Embeddings API. Beginning with an overview of the prerequisites and course structure, you'll establish a solid foundation by setting up your development environment and configuring your Google Cloud Platform. This preparation is crucial as you delve into the intricacies of Vertex AI and begin generating sentence embeddings. As the course progresses, you'll explore the core functionalities of Vertex AI and the fundamentals of embeddings, including their applications in Generative AI and LLMs. With a focus on real-world scenarios, you'll engage in hands-on exercises to visualize embeddings, conduct similarity searches, and comprehend the use of text and multimodal embeddings. Each module builds on the last, deepening your understanding and preparing you to tackle more complex tasks. By the end of the course, you'll be proficient in using the Text-Embeddings API for various applications, including text generation and information extraction. You'll learn to build and scale solutions like a Retrieval-Augmented Generation (RAG) system and visualize data in meaningful ways. This comprehensive approach ensures that you understand their practical value, making you well-equipped to leverage Vertex AI in your projects. |
| Beschreibung: | Online resource; title from title details screen (O'Reilly, viewed October 10, 2024) |
| Umfang: | 1 Online-Ressource (1 video file (1 hr., 52 min.)) sound, color. |
| ISBN: | 9781836644859 183664485X |
Internformat
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| edition | [First edition]. |
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| spelling | Harnessing LLMs & text-embeddings API with Google Vertex AI [First edition]. [Birmingham, United Kingdom] Packt Publishing [2024] 1 Online-Ressource (1 video file (1 hr., 52 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 October 10, 2024) This course takes you on an in-depth journey through the capabilities of Google Vertex AI's Text-Embeddings API. Beginning with an overview of the prerequisites and course structure, you'll establish a solid foundation by setting up your development environment and configuring your Google Cloud Platform. This preparation is crucial as you delve into the intricacies of Vertex AI and begin generating sentence embeddings. As the course progresses, you'll explore the core functionalities of Vertex AI and the fundamentals of embeddings, including their applications in Generative AI and LLMs. With a focus on real-world scenarios, you'll engage in hands-on exercises to visualize embeddings, conduct similarity searches, and comprehend the use of text and multimodal embeddings. Each module builds on the last, deepening your understanding and preparing you to tackle more complex tasks. By the end of the course, you'll be proficient in using the Text-Embeddings API for various applications, including text generation and information extraction. You'll learn to build and scale solutions like a Retrieval-Augmented Generation (RAG) system and visualize data in meaningful ways. This comprehensive approach ensures that you understand their practical value, making you well-equipped to leverage Vertex AI in your projects. Cloud computing Artificial intelligence Machine learning Natural language processing (Computer science) Intelligence artificielle Apprentissage automatique Traitement automatique des langues naturelles 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 | Harnessing LLMs & text-embeddings API with Google Vertex AI Cloud computing Artificial intelligence Machine learning Natural language processing (Computer science) Intelligence artificielle Apprentissage automatique Traitement automatique des langues naturelles artificial intelligence Instructional films Nonfiction films Internet videos Films de formation Films autres que de fiction Vidéos sur Internet |
| title | Harnessing LLMs & text-embeddings API with Google Vertex AI |
| title_auth | Harnessing LLMs & text-embeddings API with Google Vertex AI |
| title_exact_search | Harnessing LLMs & text-embeddings API with Google Vertex AI |
| title_full | Harnessing LLMs & text-embeddings API with Google Vertex AI |
| title_fullStr | Harnessing LLMs & text-embeddings API with Google Vertex AI |
| title_full_unstemmed | Harnessing LLMs & text-embeddings API with Google Vertex AI |
| title_short | Harnessing LLMs & text-embeddings API with Google Vertex AI |
| title_sort | harnessing llms text embeddings api with google vertex ai |
| topic | Cloud computing Artificial intelligence Machine learning Natural language processing (Computer science) Intelligence artificielle Apprentissage automatique Traitement automatique des langues naturelles artificial intelligence Instructional films Nonfiction films Internet videos Films de formation Films autres que de fiction Vidéos sur Internet |
| topic_facet | Cloud computing Artificial intelligence Machine learning Natural language processing (Computer science) Intelligence artificielle Apprentissage automatique Traitement automatique des langues naturelles artificial intelligence Instructional films Nonfiction films Internet videos Films de formation Films autres que de fiction Vidéos sur Internet |
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