Data Analysis with LLMs: Text, tables, images and sound

Ниже — практический обзор по теме «data».

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 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 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.

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. About the bookData Analysis with LLMs shows you exactly how to integrate generative AI into your day-to-day work as a data scientist. 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 insideClassify, cluster, transform, and query multimodal dataBuild natural language query interfaces over structured data sourcesCreate LLM-based agents for autonomous data analysisPrompt engineering and model configurationAbout the readerFor data scientists and data analysts who know the basics of Python.

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