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 Online-Ressource
Titel:Introduction to large language models with GPT & LangChain
Mitwirkende:Vankrunkelsven, Vincent [MitwirkendeR]   i
Institutionen:Packt Publishing, [Verlag]   i
Ausgabe:[First edition].
Verlagsort:[Birmingham, United Kingdom]
Verlag:Packt Publishing
E-Jahr:2025
Jahr:[2025]
Umfang:1 online resource (1 video file (45 min.))
Illustrationen:sound, color.
Fussnoten:"DataLab" : DataLab is a learning solution designed to empower individuals and teams to explore data, build skills, and solve real-world problems. With interactive content, hands-on exercises, and a focus on practical application, DataLab helps learners turn data curiosity into confident capability—no matter where they start. - Online resource; title from title details screen (O’Reilly, viewed April 9, 2025)
ISBN:978-1-80602-047-8
 1-80602-047-5
Abstract:In this course, you'll unlock the potential of large language models (LLMs) like OpenAI's GPT, using LangChain to analyze electric car registrations in Washington state. Start by importing the electric car dataset and asking GPT insightful questions about the data. Engage in a dynamic conversation with GPT to generate and execute Python code that uncovers key trends, such as identifying the most popular electric vehicle models. As you interact with GPT, you'll create and visualize data through detailed bar plots. The course emphasizes a seamless workflow where GPT's conversational memory helps maintain context across interactions, ensuring precise, reproducible insights. By the end, you'll have a solid understanding of how to leverage conversational AI to enrich data analysis, automate coding tasks, and visualize complex datasets—empowering you to make data-driven decisions with confidence.
URL:Aggregator: https://learning.oreilly.com/library/view/-/9781806020478/?ar
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:Génération automatique de texte ; Logiciels
 Logiciels d'application ; Développement
 Agents intelligents (Logiciels)
 Intelligence artificielle
 artificial intelligence
Form-SW:Instructional films
 Nonfiction films
 Internet videos
 Films de formation
 Films autres que de fiction
 Vidéos sur Internet
K10plus-PPN:1924460653
 
 
Lokale URL UB: Zum Volltext
 
 Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
 Klinikum MA Bestellen/Vormerken für Benutzer des Klinikums Mannheim
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Bibliothek/Idn:UW / m4718961165
Lokale URL Inst.: Zum Volltext

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