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Practical solutions for modern NLP c...
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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$q(electronic bk.)
Practical solutions for modern NLP challengesmastering LLMs and SLMs for real-world NLP in cloud and open-source /
Practical solutions for modern NLP challenges
mastering LLMs and SLMs for real-world NLP in cloud and open-source /[electronic resource] :by Venkata Gunnu ... [et al.]. - Berkeley, CA :Apress :2025. - xxv, 539 p. :ill., digital ;24 cm.
Chapter 1: Introduction to LLMs, SLMs, and Modern NLP Challenges -- Chapter 2: Text Generation with LLMs and SLMs -- Chapter 3: Text Classification with LLMs and SLMs -- Chapter 4: Named Entity Recognition (NER) with LLMs and SLMs -- Chapter 5: Sentiment Analysis with LLMs and SLMs -- Chapter 6: Question Answering (QA) -- Chapter 7: Text Summarization -- Chapter 8: Language Translation -- Chapter 9: Dialogue Systems -- Chapter 10: Text Correction and Language Modeling -- Chapter 11: Coreference Resolution and Text Entailment -- Chapter 12: Emerging Trends and Future Directions in NLP.
ISBN: 9798868820564$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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mastering LLMs and SLMs for real-world NLP in cloud and open-source /
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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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based on 0 review(s)
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https://doi.org/10.1007/979-8-8688-2056-4
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