BOOKS - LLMOps Managing Large Language Models in Production (Early Release)
LLMOps Managing Large Language Models in Production (Early Release) - Abi Aryan 2025-01-29 PDF | EPUB | MOBI O’Reilly Media, Inc. BOOKS
1 TON

Views
4916

Telegram
 
LLMOps Managing Large Language Models in Production (Early Release)
Author: Abi Aryan
Year: 2025-01-29
Format: PDF | EPUB | MOBI
File size: 10.1 MB
Language: ENG



Pay with Telegram STARS
LLMOps Managing Large Language Models in Production Early Release The book "LLMOps Managing Large Language Models in Production Early Release" provides a comprehensive guide to managing large language models in production environments, focusing on the practical aspects of deploying, maintaining, and scaling these models in real-world applications. The authors, who are experienced practitioners in the field, offer insights and best practices for managing the entire lifecycle of large language models, from development to deployment and maintenance. The book begins by discussing the importance of understanding the technology evolution process and its impact on society. The authors argue that the rapid pace of technological advancements has created both opportunities and challenges for humanity, and that it is essential to develop a personal paradigm for perceiving the technological process of developing modern knowledge. This paradigm should be based on the survival of humanity and the unification of people in a warring state. The authors then delve into the specifics of managing large language models, starting with the need for a robust infrastructure to support their deployment. They emphasize the importance of selecting the right hardware and software components, as well as designing an appropriate data pipeline to ensure efficient processing and storage of large amounts of data.
LLMOps Managing Large Language Models in Production Early Release Книга «LLMOps Managing Large Language Models in Production Early Release» содержит исчерпывающее руководство по управлению большими языковыми моделями в производственных средах с акцентом на практические аспекты развертывания, обслуживания и масштабирования этих моделей в реальных приложениях. Авторы, которые являются опытными практиками в этой области, предлагают идеи и передовые практики для управления всем жизненным циклом больших языковых моделей, от разработки до развертывания и обслуживания. Книга начинается с обсуждения важности понимания процесса эволюции технологий и его влияния на общество. Авторы утверждают, что быстрые темпы технологического прогресса создали как возможности, так и проблемы для человечества, и что важно разработать личную парадигму восприятия технологического процесса развития современных знаний. Эта парадигма должна основываться на выживании человечества и объединении людей в воюющее государство. Затем авторы углубляются в особенности управления большими языковыми моделями, начиная с необходимости наличия надежной инфраструктуры для поддержки их развертывания. Они подчеркивают важность правильного выбора аппаратных и программных компонентов, а также разработки соответствующего конвейера данных для обеспечения эффективной обработки и хранения больших объемов данных.
''

You may also be interested in:

Build a Large Language Model (From Scratch) (Final Release)
Build a Large Language Model (From Scratch) (Final Release)
TensorFlow Developer Certification Guide Crack Google’s official exam on getting skilled with managing production-grade ML models
TensorFlow Developer Certification Guide Crack Google’s official exam on getting skilled with managing production-grade ML models
TensorFlow Developer Certification Guide Crack Google’s official exam on getting skilled with managing production-grade ML models
Intercultural Dialogue in Practice: Managing Value Judgment through Foreign Language Education
TensorFlow Developer Certification Guide: Crack Google|s official exam on getting skilled with managing production-grade ML models
More than a Chatbot Language Models Demystified
More than a Chatbot Language Models Demystified
The Developer|s Playbook for Large Language Model Security: Building Secure AI Applications
Large Language Model-Based Solutions How to Deliver Value with Cost-Effective Generative AI Applications
Large Language Model-Based Solutions How to Deliver Value with Cost-Effective Generative AI Applications
Prompt Engineering for LLMs The Art and Science of Building Large Language Model-Based Applications
Prompt Engineering for LLMs The Art and Science of Building Large Language Model-Based Applications
Logic and Language Models for Computer Science
Data in Context: Models as Enablers for Managing and Using Data (The Enterprise Engineering Series)
Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applications (Tech Today)
The Developer|s Playbook for Large Language Model Security Building Secure AI Applications (Final Release)
Talking to Machines: The Fascinating Story of ChatGPT and AI Language Models
Advanced Applications of Generative AI and Natural Language Processing Models
LLMs in Production: From language models to successful products (MEAP)
The Hundred-Page Language Models Book Hands-on with PyTorch
Logic and Language Models for Computer Science, 3rd Edition
Logic and Language Models for Computer Science, 4th Edition
Advanced Applications of Generative AI and Natural Language Processing Models
LLMs in Production From language models to successful products (Final Release)
Next Generation AI Language Models in Research Promising Perspectives and Valid Concerns
The Implications of Literacy: Written Language and Models of Interpretation in the Eleventh and Twelfth Centuries
The Hitchhiker|s Guide to Linear Models Based on the famous R programming language
The Hitchhiker|s Guide to Linear Models Based on the famous R programming language
Information Theory Meets Power Laws: Stochastic Processes and Language Models
Deep Learning for Natural Language Processing Develop Deep Learning Models for Natural Language in Python
PyTorch for Natural Language Processing Mastery : Build powerful dialogue models with Python
PyTorch for Natural Language Processing Mastery Build powerful dialogue models with Python
PyTorch for Natural Language Processing Mastery Build powerful dialogue models with Python
What Is LLMOps?
Managing the Unmanageable: Rules, Tools, and Insights for Managing Software People and Teams
Dual Language Bilingual Education: Teacher Cases and Perspectives on Large-Scale Implementation (Bilingual Education and Bilingualism, 123)
Multimodal LLM: A Comprehensive Guide to Multimodal Language Models for Text and Image Processing (AI Explorer Series)
Language, Text, and Knowledge: Mental Models of Expert Communication (Text, Translation, Computational Processing [TTCP], 2)