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
"synopsis" may belong to another edition of this title.
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 this title" may belong to another edition of this title.
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Hardback. Condition: New. 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 filesExtract information from multi-modal data lakesClassify, cluster, transform, and query multimodal dataBuild natural language query interfaces over structured data sourcesUse LangChain to build complex data analysis pipelinesPrompt 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. Seller Inventory # LU-9781633437647
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Hardcover. Condition: new. Hardcover. 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 hoursor even daysof time.Inside, you'll learn how to use AI assistants to: Analyze text, tables, images, and audio filesExtract information from multi-modal data lakesClassify, cluster, transform, and query multimodal dataBuild natural language query interfaces over structured data sourcesUse LangChain to build complex data analysis pipelinesPrompt 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. Speed up common data science tasks with AI assistants like ChatGPT and Large Language Models (LLMs) from Anthropic, Cohere, AI21, Hugging Face, and more! Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781633437647
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Hardback. Condition: New. 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 filesExtract information from multi-modal data lakesClassify, cluster, transform, and query multimodal dataBuild natural language query interfaces over structured data sourcesUse LangChain to build complex data analysis pipelinesPrompt 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. Seller Inventory # LU-9781633437647
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