Data Analysis with LLMs (Text, tables, images and sound)
List Price:
$39.99
- Availability: Confirm prior to ordering
- Branding: minimum 50 pieces (add’l costs below)
- Check Freight Rates (branded products only)
Branding Options (v), Availability & Lead Times
- 1-Color Imprint: $2.00 ea.
- Promo-Page Insert: $2.50 ea. (full-color printed, single-sided page)
- Belly-Band Wrap: $2.50 ea. (full-color printed)
- Set-Up Charge: $45 per decoration
- Availability: Product availability changes daily, so please confirm your quantity is available prior to placing an order.
- Branded Products: allow 10 business days from proof approval for production. Branding options may be limited or unavailable based on product design or cover artwork.
- Unbranded Products: allow 3-5 business days for shipping. All Unbranded items receive FREE ground shipping in the US. Inquire for international shipping.
- RETURNS/CANCELLATIONS: All orders, branded or unbranded, are NON-CANCELLABLE and NON-RETURNABLE once a purchase order has been received.
Product Details
Author:
Immanuel Trummer
Format:
Paperback
Pages:
232
Publisher:
Manning (May 27, 2025)
Language:
English
ISBN-13:
9781633437647
ISBN-10:
1633437647
Weight:
14.4oz
Dimensions:
7.375" x 9.25" x 0.7"
File:
Eloquence-SimonSchuster_04022026_P9912986_onix30_Complete-20260402.xml
Folder:
Eloquence
List Price:
$39.99
Pub Discount:
37
Series:
In Action
As low as:
$30.79
Publisher Identifier:
P-SS
Discount Code:
A
Imprint:
Manning
Case Pack:
30
Overview
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 configuration
All 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.
Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications.
About the technology
Large 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 book
Data 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 configuration
About the reader
For data scientists and data analysts who know the basics of Python.
About the author
Immanuel Trummer is an associate professor of computer science at Cornell University and a member of the Cornell Database Group.
Table of Contents
Part 1
1 Analyzing data with large language models
2 Chatting with ChatGPT
Part 2
3 The OpenAI Python library
4 Analyzing text data
5 Analyzing structured data
6 Analyzing images and videos
7 Analyzing audio data
Part 3
8 GPT alternatives
9 Optimizing cost and quality
10 Software frameworks
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 configuration
All 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.
Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications.
About the technology
Large 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 book
Data 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 configuration
About the reader
For data scientists and data analysts who know the basics of Python.
About the author
Immanuel Trummer is an associate professor of computer science at Cornell University and a member of the Cornell Database Group.
Table of Contents
Part 1
1 Analyzing data with large language models
2 Chatting with ChatGPT
Part 2
3 The OpenAI Python library
4 Analyzing text data
5 Analyzing structured data
6 Analyzing images and videos
7 Analyzing audio data
Part 3
8 GPT alternatives
9 Optimizing cost and quality
10 Software frameworks
