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:
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.
"Sinopsis" puede pertenecer a otra edición de este libro.
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.
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Hardback. Condición: 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. Nº de ref. del artículo: LU-9781633437647
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Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de America
Hardback. Condición: 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. Nº de ref. del artículo: LU-9781633437647
Cantidad disponible: 10 disponibles
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Hardback. Condición: 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. Nº de ref. del artículo: LU-9781633437647
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