LLMs in action
Seiten
2025
|
1. Auflage
Manning Publications (Verlag)
978-1-63343-764-7 (ISBN)
Manning Publications (Verlag)
978-1-63343-764-7 (ISBN)
Speed up common data science tasks with AI assistants like ChatGPT and Large Language Models (LLMs) from Anthropic, Cohere, AI21, Hugging Face, and more!
Using ChatGPT and other AI-powered tools, you can analyze almost any kind of data with just a few short lines of plain English. In LLMs in Action, you'll learn important techniques for streamlining your data science practice, expanding your skillset and saving you hours—or even days—of time.
Inside, you'll learn how to use AI assistants to:
Analyze text, tables, images, and audio files
Extract information from multi-modal data lakes
Classify, cluster, transform, and query multimodal data
Build natural language query interfaces over structured data sources
Use LangChain to build complex data analysis pipelines
Prompt engineering and model configuration
This practical book takes you from your first prompts through advanced techniques like building automated analysis pipelines and fine-tuning existing models. You'll learn how to create meaningful reports, generate informative graphs, and much more.
Using ChatGPT and other AI-powered tools, you can analyze almost any kind of data with just a few short lines of plain English. In LLMs in Action, you'll learn important techniques for streamlining your data science practice, expanding your skillset and saving you hours—or even days—of time.
Inside, you'll learn how to use AI assistants to:
Analyze text, tables, images, and audio files
Extract information from multi-modal data lakes
Classify, cluster, transform, and query multimodal data
Build natural language query interfaces over structured data sources
Use LangChain to build complex data analysis pipelines
Prompt engineering and model configuration
This practical book takes you from your first prompts through advanced techniques like building automated analysis pipelines and fine-tuning existing models. You'll learn how to create meaningful reports, generate informative graphs, and much more.
Immanuel Trummer is an assistant professor for computer science at Cornell University and leader of the Cornell Database Group. His papers have been selected for "Best of VLDB", "Best of SIGMOD", for the ACM SIGMOD Research Highlight Award, and for publication in CACM as CACM Research Highlight. Immanuel's online course on data management has reached over a million views on YouTube. Over the past few years, his group has published extensively on projects that apply large language models in the context of data science.
| Erscheinungsdatum | 09.05.2025 |
|---|---|
| Verlagsort | New York |
| Sprache | englisch |
| Maße | 188 x 234 mm |
| Gewicht | 430 g |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Mathematik / Informatik ► Informatik ► Programmiersprachen / -werkzeuge | |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| ISBN-10 | 1-63343-764-7 / 1633437647 |
| ISBN-13 | 978-1-63343-764-7 / 9781633437647 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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