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Building Natural Language Pipelines. An introduction to Haystack by Deepset Laura Funderburk

(ebook) (audiobook) (audiobook) Książka w języku 1
Building Natural Language Pipelines.  An introduction to Haystack by Deepset Laura Funderburk - okladka książki

Building Natural Language Pipelines.  An introduction to Haystack by Deepset Laura Funderburk - okladka książki

Building Natural Language Pipelines.  An introduction to Haystack by Deepset Laura Funderburk - audiobook MP3

Building Natural Language Pipelines.  An introduction to Haystack by Deepset Laura Funderburk - audiobook CD

Autor:
Laura Funderburk
Ocena:
Stron:
102
Building Natural Language Pipelines guides you through mastering LLM-powered applications using Haystack by deepset. From understanding Large Language Models to implementing production-ready NLP pipelines, this book covers it all.
You'll explore LLMs, learn to optimize their performance, and dive deep into the Haystack framework. Through hands-on projects, you'll build applications ranging from question-answering systems to sentiment analysis and semantic search engines. You'll learn to leverage Haystack's components and create custom ones. The book teaches you to package applications with Docker, enhance them with custom APIs, and apply best practices for scalable, well-documented projects. Real-world case studies demonstrate practical applications of these concepts.
By the end, you'll confidently design, implement, and deploy sophisticated NLP pipelines for various language processing challenges, equipping you with essential skills for building powerful, scalable NLP applications.

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O autorze książki

Laura Funderburk works as a Developer Advocate for Ploomber, an organization focused on improving the MLOps lifecycle. As a Developer Advocate, Laura combines her passion for MLOps, SQL, and data engineering, with her love for community outreach. Prior to this, Laura held positions as a Data Scientist and DevOps engineer in a variety of settings, including academia, non-for-profit and private sectors. Laura obtained a Machine Learning Engineering certification from the University of California San Diego, and a Bachelor of Mathematics from Simon Fraser University. Since the introduction of Large Language Models, Laura has dedicated her time to learning how to package, productionize and automate data extraction, processing and retrieval through LLMs and open-source packages, and has found a framework she loves in Haystack. When not immersed in building pipelines and engaging with the open-source community, Laura trains Brazilian Jiu-jitsu.

Packt Publishing - inne książki

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