iPhoneAlle anzeigen
iPhone 11iPhone 11 ProiPhone 11 Pro MaxiPhone 12iPhone 12 ProiPhone 12 Pro MaxiPhone 12 miniiPhone 13iPhone 13 ProiPhone 13 Pro MaxiPhone 13 miniiPhone 14iPhone 14 PlusiPhone 14 ProiPhone 14 Pro MaxiPhone 15iPhone 15 PlusiPhone 15 ProiPhone 15 Pro MaxiPhone 16iPhone 16 PlusiPhone 16 ProiPhone 16 Pro MaxiPhone 16eiPhone 8iPhone 8 PlusiPhone SE 2020iPhone SE 2022iPhone XiPhone XRiPhone XSiPhone XS Max
Galaxy A-SerieAlle anzeigen
Galaxy A12Galaxy A13Galaxy A13 5GGalaxy A14Galaxy A15Galaxy A16Galaxy A17Galaxy A17 5GGalaxy A20eGalaxy A21Galaxy A22Galaxy A23Galaxy A24Galaxy A25Galaxy A26 5GGalaxy A32Galaxy A33Galaxy A34Galaxy A35Galaxy A36 5GGalaxy A37Galaxy A40Galaxy A41Galaxy A42Galaxy A50Galaxy A51Galaxy A52Galaxy A53Galaxy A54Galaxy A55Galaxy A56 5GGalaxy A57 5GGalaxy A70Galaxy A71Galaxy A72
Redmi SeriesAlle anzeigen
Redmi 10Redmi 13CRedmi 15 5GRedmi Note 10Redmi Note 10 ProRedmi Note 11Redmi Note 11 ProRedmi Note 11 Pro Plus 5GRedmi Note 11sRedmi Note 12Redmi Note 12 5GRedmi Note 12 ProRedmi Note 12 Pro 5GRedmi Note 12 Pro PlusRedmi Note 13Redmi Note 13 5GRedmi Note 13 ProRedmi Note 13 Pro PlusRedmi Note 14Redmi Note 14 Pro PlusRedmi Note 15Redmi Note 15 5GRedmi Note 15 ProRedmi Note 15 Pro 5GRedmi Note 15 Pro Plus 5GRedmi Note 8Redmi Note 8 ProRedmi Note 9Redmi Note 9 Pro
- Startseite
Bücher Englische Bücher Wissen & Bildung Naturwissenschaft, Medizin, Informatik, Technik Informatik & EDV Practical Solutions for Modern NLP Challenges
Handgeprüfte Gebrauchtware
Bis zu 50 % günstiger als neu
Der Umwelt zuliebe
Practical Solutions for Modern NLP Challenges
Venkata Gunnu, Shubham Shah, Anvesh Minukuri, Jayanth Gopu (Broschiert, Englisch)
★★★★★
☆☆☆☆☆ Keine Bewertungen vorhanden
Optischer Zustand
Beschreibung
Large Language Models (LLMs) have revolutionized Natural Language Processing (NLP), enabling advanced applications such as machine translation, text summarization, and sentiment analysis. This book serves as a comprehensive guide for data scientists, machine learning engineers, and developers, offering foundational theory and practical skills to harness the power of LLMs for real-world problems.… From understanding the fundamentals of LLMs to deploying them in cloud and open-source environments, this book equips readers with the essential knowledge to excel in modern NLP. The book takes a hands-on approach, guiding readers through the end-to-end deployment of LLMs—from data collection and preprocessing to model training, evaluation, and real-time inference. Using popular frameworks like Amazon SageMaker and Hugging Face Transformers, you’ll explore practical tasks such as text generation, classification, and named entity recognition. Additionally, it delves into industry use cases like customer support chatbots and content generation while addressing emerging trends, scaling techniques, and ethical considerations like bias and fairness in AI. This is your ultimate resource for mastering LLMs in production-ready environments. You Will: Learn to implement cutting-edge NLP tasks such as text generation, sentiment analysis, and named entity recognition using AWS services and open-source tools like Hugging Face. Understand best practices for scaling and maintaining NLP models in production, focusing on real-time performance, monitoring, and iterative improvements. Practice techniques for training and optimizing LLMs, covering data preprocessing, hyperparameter tuning, and evaluation strategies. This book is for: Data scientists, Machine learning engineers, and developers 48,14 €
Broschiert | Neu
oder
zzgl.
Du kannst wie immer einen Kaufalarm setzen, wenn du auf das gebrauchte Buch warten möchtest.
zzgl.
Handgeprüfte Gebrauchtware
Bis zu 50 % günstiger als neu
Der Umwelt zuliebe
Technische Daten
Erscheinungsdatum
03.01.2026
Sprache
Englisch
EAN
9798868820557
Herausgeber
APRESS
Sonderedition
Nein
Autor
Venkata Gunnu, Shubham Shah, Anvesh Minukuri, Jayanth Gopu
Seitenanzahl
539
Einbandart
Broschiert
Buch Untertitel
Mastering LLMs and SLMs for Real-World NLP in Cloud and Open-Source
Schlagwörter
Large Language Models (LLMs), Model Deployment, Small LLMs, custom LLMs from Hugging Face, Amazon SageMaker, AI Ethics and emerging trends in modern nlp tasks
Thema-Inhalt
UT - Computernetzwerke und maschinelle Kommunikation
TJK - Nachrichtententechnik, Telekommunikation
UYQM - Maschinelles Lernen
UYQ - Künstliche Intelligenz
Höhe
254 mm
Breite
17.8 cm
Transparenz & Sicherheit
Hersteller: Apress, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH
-.-
★★★★★
☆☆☆☆☆ Leider noch keine Bewertungen
Leider noch keine Bewertungen
Sicher bei rebuy kaufen
Schreib die erste Bewertung für dieses Produkt!
Wenn du eine Bewertung für dieses Produkt schreibst, hilfst du allen Kund:innen, die noch überlegen, ob sie das Produkt kaufen wollen. Vielen Dank, dass du mitmachst!
Sicher bei rebuy kaufen