DeepSeek-Vision Language for Developers (Paperback)

Langue : anglais

Edité par Independently Published, 2025

9798311420464

Vendeur : CitiRetail, Stevenage, Royaume-UniCitiRetail

Vendeur avec une évaluation de 5 étoiles

Vendeur AbeBooks depuis 29 juin 2022

Livre broché

Etat: Neuf

EUR 23,15

EUR 43,79 expédition 
Expédition depuis Royaume-Uni vers Etats-Unis

Quantité disponible : 1 disponible

Ajouter au panier
Retours gratuits sous 30 jours

A propos de cet article

Paperback. DeepSeek-Vision Language for Developers: A Practical Approach to Multimodal AIMultimodal AI is transforming the way machines understand and interact with the world, bridging the gap between vision and language. DeepSeek-Vision Language for Developers: A Practical Approach to Multimodal AI is your complete guide to harnessing the power of DeepSeek-VL for building intelligent applications that process both text and images. Whether you're developing AI-driven search engines, chatbots, image captioning models, or visual question-answering (VQA) systems, this book provides hands-on tutorials, real-world use cases, and step-by-step implementations to help you master multimodal AI.This book takes a developer-centric approach to DeepSeek-VL, an advanced vision-language model designed for multimodal applications. You will explore the core architecture, model components, training approaches, and integration techniques to build robust AI-powered solutions. By the end, you'll have a solid grasp of how to fine-tune, deploy, and scale DeepSeek-VL in practical scenarios.Key Features of This BookDeep Dive into DeepSeek-VL - Understand how vision-language models process text and images simultaneously.Step-by-Step Implementation - Learn to build applications like image captioning, text-to-image retrieval, and VQA with fully functional code.Fine-Tuning and Optimization - Customize DeepSeek-VL for domain-specific applications with effective fine-tuning techniques.Deployment Strategies - Explore cloud, edge, and API-based integration to bring your models into production.Ethical Considerations & Future Trends - Address bias in multimodal AI and stay ahead with cutting-edge research directions.This book is ideal for: AI & Machine Learning Engineers looking to integrate multimodal AI into their projects.Developers & Data Scientists seeking hands-on experience with DeepSeek-VL, LangChain, and knowledge graphs.Researchers & AI Enthusiasts interested in vision-language models and their real-world applications.Take your AI skills to the next level with DeepSeek-VL and build intelligent multimodal applications! Whether you're a developer, researcher, or AI enthusiast, this book equips you with the tools, code, and insights you need to implement DeepSeek-VL effectively. Get your copy today and start building the future of multimodal AI! This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

N° de réf. du vendeur 9798311420464

Titre
DeepSeek-Vision Language for Developers (Paperback)
Auteur
Francisco Collier
Éditeur
Independently Published
Année de publication
2025
État de l'article
new
Reliure
Paperback
Langue
anglais
ISBN à 13 chiffres
9798311420464

CitiRetail

Stevenage, Royaume-Uni

Vendeur avec une évaluation de 5 étoiles

Vendeur AbeBooks depuis 29 juin 2022

Frais d'expédition de Royaume-Uni vers Etats-Unis

Article7 à 14 jours ouvrés7 à 60 jours ouvrés
Premier articleEUR 43,79EUR 43,79
Les délais de livraison sont fixés par les vendeurs et varient en fonction du transporteur et du lieu. Les commandes transitant par les douanes peuvent être retardées et les acheteurs sont responsables de tous les droits ou frais associés. Les vendeurs peuvent vous contacter au sujet de frais supplémentaires afin de couvrir toute augmentation des coûts d'expédition de vos articles.

Modes de paiement

  • Visa
  • Mastercard
  • American Express
  • Carte Bleue
  • Apple Pay
  • Google Pay

Description de la boutique

Online business

Profil professionnel du vendeur

ABC BOOKS LIMITED

10 John Street
London, Royaume-Uni WC1N 2EB