Mastering LangChain

A Comprehensive Guide to Building Generative AI Applications

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Éditeur :

Apress

Paru le : 2025-09-30

This book provides a comprehensive exploration of LangChain, empowering you to effectively harness large language models (LLMs) for Gen AI applications. It focuses on practical implementation and techniques, making it a valuable resource for learning LangChain. The book starts with foundational topi...
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Éditeur

Collection
n.c

Parution
2025-09-30

Pages
243 pages

EAN papier
9798868817175

Auteur(s) du livre


Sanath Raj B Narayan is a Senior Data Scientist with over a decade of experience in building AI and machine learning solutions, as well as scalable systems using AWS and Azure. He has previously held roles at Ericsson, Mindtree, KPMG India, and Cognizant, where he led data-driven projects across the retail, telecom, and consulting sectors. Sanathraj's expertise spans predictive modeling, recommender systems, and the deployment of end-to-end machine learning pipelines. He is also a regular speaker at conferences, where he presents on AI and related topics. Nitin Agarwal is a Principal AI Scientist with over 14 years of experience in Artificial Intelligence and Data Science. Formerly a Senior Data Scientist at Microsoft, he specializes in Machine Learning, Deep Learning, Natural Language Processing, and Statistical Modeling. Nitin brings extensive expertise in crafting innovative AI Copilots and delivering cutting-edge Data Science solutions across diverse industries, including Healthcare, Technology, and Logistics. He holds a master’s degree in Data Science and Engineering from Birla Institute of Technology and Sciences (BITS), Pilani and CORe from Harvard Business School (HBX). Passionate about Generative AI and Large Language Models (LLMs), he is also a published researcher and a dedicated mentor. Nitin frequently shares his expertise as a speaker at AI and technology conferences, where he engages with the community on the latest advancements in AI and their real-world applications.

Caractéristiques détaillées - droits

EAN PDF
9798868817182
Prix
56,19 €
Nombre pages copiables
2
Nombre pages imprimables
24
Taille du fichier
5949 Ko
EAN EPUB
9798868817182
Prix
56,19 €
Nombre pages copiables
2
Nombre pages imprimables
24
Taille du fichier
1239 Ko

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