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Practical solutions for modern NLP c...

Gunnu, Venkata.

Practical solutions for modern NLP challengesmastering LLMs and SLMs for real-world NLP in cloud and open-source /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Practical solutions for modern NLP challengesby Venkata Gunnu ... [et al.].
Reminder of title:	mastering LLMs and SLMs for real-world NLP in cloud and open-source /
other author:	Gunnu, Venkata.
Published:	Berkeley, CA :Apress :2025.
Description:	xxv, 539 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Natural language processing (Computer science)
Online resource:	https://doi.org/10.1007/979-8-8688-2056-4
ISBN:	9798868820564$q(electronic bk.)

Practical solutions for modern NLP challengesmastering LLMs and SLMs for real-world NLP in cloud and open-source /
Practical solutions for modern NLP challengesmastering LLMs and SLMs for real-world NLP in cloud and open-source /[electronic resource] :by Venkata Gunnu ... [et al.]. - Berkeley, CA :Apress :2025. - xxv, 539 p. :ill., digital ;24 cm.

Chapter 1: Introduction to LLMs, SLMs, and Modern NLP Challenges -- Chapter 2: Text Generation with LLMs and SLMs -- Chapter 3: Text Classification with LLMs and SLMs -- Chapter 4: Named Entity Recognition (NER) with LLMs and SLMs -- Chapter 5: Sentiment Analysis with LLMs and SLMs -- Chapter 6: Question Answering (QA) -- Chapter 7: Text Summarization -- Chapter 8: Language Translation -- Chapter 9: Dialogue Systems -- Chapter 10: Text Correction and Language Modeling -- Chapter 11: Coreference Resolution and Text Entailment -- Chapter 12: Emerging Trends and Future Directions in NLP.

ISBN: 9798868820564$q(electronic bk.)

Standard No.: 10.1007/979-8-8688-2056-4doiSubjects--Topical Terms:

200539
Natural language processing (Computer science)

LC Class. No.: QA76.9.N38

Dewey Class. No.: 006.35

Practical solutions for modern NLP challengesmastering LLMs and SLMs for real-world NLP in cloud and open-source /
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505 0 $a Chapter 1: Introduction to LLMs, SLMs, and Modern NLP Challenges -- Chapter 2: Text Generation with LLMs and SLMs -- Chapter 3: Text Classification with LLMs and SLMs -- Chapter 4: Named Entity Recognition (NER) with LLMs and SLMs -- Chapter 5: Sentiment Analysis with LLMs and SLMs -- Chapter 6: Question Answering (QA) -- Chapter 7: Text Summarization -- Chapter 8: Language Translation -- Chapter 9: Dialogue Systems -- Chapter 10: Text Correction and Language Modeling -- Chapter 11: Coreference Resolution and Text Entailment -- Chapter 12: Emerging Trends and Future Directions in NLP.
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