LLMs in Action
Language: English
Published by Manning Publications Mai 2025, 2025
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Add to basketItem description from seller
Neuware - Speed up common data science tasks with AI assistants like ChatGPT and Large Language Models (LLMs) from Anthropic, Cohere, Open AI, Google, Hugging Face, and more!Data Analysis with LLMs teaches you to use the new generation of AI assistants and Large Language Models (LLMs) to aid and accelerate common data science tasks.Learn how to use LLMs 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 configurationAll practical, Data Analysis with LLMs takes you from your first prompts through advanced techniques like creating LLM-based agents for data analysis and fine-tuning existing models. You’ll learn how to extract data, build natural language query interfaces, and much more.About the technologyLarge Language Models (LLMs) can streamline and accelerate almost any data science task. Master the techniques in this book, and you’ll be able to analyze large amounts of text, tabular and graph data, images, videos, and more with clear natural language prompts and a few lines of Python code.About the bookData Analysis with LLMs shows you exactly how to integrate generative AI into your day-to-day work as a data scientist. In it, Cornell professor Immanuel Trummer guides you through a series of engaging projects that introduce OpenAI’s Python library, tools like LangChain and LlamaIndex, and LLMs from Anthropic, Cohere, and Hugging Face. As you go, you’ll use AI to query structured and unstructured data, analyze sound and images, and optimize the cost and quality of your data analysis process.What's inside- Classify, cluster, transform, and query multimodal data- Build natural language query interfaces over structured data sources- Create LLM-based agents for autonomous data analysis- Prompt engineering and model configurationAbout the readerFor data scientists and data analysts who know the basics of Python.About the authorImmanuel Trummer is an associate professor of computer science at Cornell University and a member of the Cornell Database Group.Table of ContentsPart 11 Analyzing data with large language models2 Chatting with ChatGPTPart 23 The OpenAI Python library4 Analyzing text data5 Analyzing structured data6 Analyzing images and videos7 Analyzing audio dataPart 38 GPT alternatives9 Optimizing cost and quality10 Software frameworks.…
Seller Inventory # 9781633437647
- Title
- LLMs in Action
- Author
- Immanuel Trummer
- Publisher
- Manning Publications Mai 2025
- Publication year
- 2025
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 1633437647
- ISBN 13
- 9781633437647
- Item weight
- 410 grams
- Dimensions
- 232x184x14 mm
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.
"Synopsis" may belong to another edition of this title.
About the Author
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.
"About the title" may belong to another edition of this title.
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