| Online-Ressource |
Titel: | AI superstream |
Titelzusatz: | deploying and managing LLMs in production |
Mitwirkende: | Clemente, Fabiana [PräsentatorIn]  |
| Tang, Yujian [PräsentatorIn]  |
| Dora, Matteo [PräsentatorIn]  |
| Oppenheimer, Diego [PräsentatorIn]  |
| Talby, David [PräsentatorIn]  |
| Huyen, Chip [PräsentatorIn]  |
| Stadelmann, Thomas [PräsentatorIn]  |
| Nonato, Fábio [PräsentatorIn]  |
| Aryan, Abi [PräsentatorIn]  |
Institutionen: | O'Reilly (Firm), [Verlag]  |
Verf.angabe: | by Fabiana Clemente, Yujian Tang, Matteo Dora, Diego Oppenheimer, David Talby, Chip Huyen, Thomas Stadelmann, Fábio Nonato, Abi Aryan |
Ausgabe: | [First edition]. |
Verlagsort: | [Sebastopol, California] |
Verlag: | O'Reilly Media, Inc. |
E-Jahr: | 2024 |
Jahr: | [2024] |
Umfang: | 1 online resource (1 video file (3 hr., 47 min.)) |
Illustrationen: | sound, color. |
Fussnoten: | Online resource; title from title details screen (O’Reilly, viewed May 7, 2024) |
Abstract: | Join industry experts and top thought leaders from the field to delve into the innovative applications of large language models in various production environments. Whether you're interested in enhancing natural language understanding in chatbots, automating content generation, or optimizing data analysis, you'll get valuable insights, best practices, and practical tips for deploying and managing LLMs effectively in production, drawn from real-world examples and case studies. |
URL: | Aggregator: https://learning.oreilly.com/library/view/-/0790145503572/?ar |
Datenträger: | Online-Ressource |
Sprache: | eng |
Sach-SW: | Génération automatique de texte |
| Intelligence artificielle |
| artificial intelligence |
| Instructional films |
| Nonfiction films |
| Internet videos |
| Films de formation |
| Films autres que de fiction |
| Vidéos sur Internet |
K10plus-PPN: | 1890483877 |
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Lokale URL UB: | Zum Volltext |
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| Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg |
| Bestellen/Vormerken für Benutzer des Klinikums Mannheim Eigene Kennung erforderlich |
Bibliothek/Idn: | UW / m4533711561 |
Lokale URL Inst.: | Zum Volltext |