{"product_id":"large-language-models-ops-for-finance-a-practical-guide-to-infrastructure-implementation-and-innovation-paperback","title":"Large Language Models Ops for Finance: A Practical Guide to Infrastructure, Implementation, and Innovation - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eBrindha Priyadarshini Jeyaraman\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eExplore emerging technologies and the evolving role of AI in finance. Geared toward finance professionals, this book will equip you with the knowledge and tools to harness the power of Large Language Models (LLMs), ensuring you stay ahead in an increasingly AI-driven industry. \u003c\/p\u003e Highlighting the benefits and challenges of LLMs in financial contexts, the book starts with the necessary infrastructure setup, covering both hardware and software requirements. It offers a balanced discussion on cloud versus on-premises solutions, enabling you to make informed decisions based on their specific needs. Training and fine-tuning LLMs are critical components of effective deployment, and this book offers best practices, from data preparation to advanced fine-tuning techniques. It also delves into deployment strategies, with practical advice on building deployment pipelines, monitoring performance, and optimizing operations.  Ensuring data privacy and security is paramount in finance, so you'll take a close look at maintaining compliance with regulations while safeguarding sensitive information. You'll also examine the integration of LLMs into existing financial systems, with real-world case studies and strategies for API development and real-time data processing. Monitoring and maintenance are crucial for long-term success, and the book outlines how to manage performance metrics, handle model drift, and ensure regular updates. \u003cem\u003eLarge Language Models Ops for Finance\u003c\/em\u003e is your essential guide to discovering the transformative potential of LLMs in the finance industry.  \u003cstrong\u003eWhat You Will Learn\u003c\/strong\u003e ● Review LLMs and their applications in finance. ● Set up the infrastructure for training and deploying LLMs. ● Apply best practices for fine-tuning and maintaining LLMs. ● Employ techniques for integrating LLMs into existing financial systems \u003cstrong\u003eWho This Book Is For\u003c\/strong\u003e AI and ML engineers, data scientists, and finance professionals interested in implementing and managing large language models within the finance industry.\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eExplore emerging technologies and the evolving role of AI in finance. Geared toward finance professionals, this book will equip you with the knowledge and tools to harness the power of Large Language Models (LLMs), ensuring you stay ahead in an increasingly AI-driven industry. \u003c\/p\u003e \u003cp\u003eHighlighting the benefits and challenges of LLMs in financial contexts, the book starts with the necessary infrastructure setup, covering both hardware and software requirements. It offers a balanced discussion on cloud versus on-premises solutions, enabling you to make informed decisions based on their specific needs. Training and fine-tuning LLMs are critical components of effective deployment, and this book offers best practices, from data preparation to advanced fine-tuning techniques. It also delves into deployment strategies, with practical advice on building deployment pipelines, monitoring performance, and optimizing operations. \u003c\/p\u003e \u003cp\u003eEnsuring data privacy and security is paramount in finance, so you'll take a close look at maintaining compliance with regulations while safeguarding sensitive information. You'll also examine the integration of LLMs into existing financial systems, with real-world case studies and strategies for API development and real-time data processing. Monitoring and maintenance are crucial for long-term success, and the book outlines how to manage performance metrics, handle model drift, and ensure regular updates. \u003cem\u003eLarge Language Models Ops for Finance\u003c\/em\u003e is your essential guide to discovering the transformative potential of LLMs in the finance industry. \u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003eBrindha Priyadarshini Jeyaraman is a seasoned AI and Data Science leader with over 16 years of experience spanning machine learning, software engineering, and cloud architecture. As Principal Architect for AI, APAC at Google Cloud, she leads AI-driven transformations across diverse sectors including telecommunications, finance, gaming, and AI agents for the consumer ecosystem. An expert in real-time systems, MLOps, and Temporal Knowledge Graphs, Brindha has authored three influential books on machine learning, streaming analytics, and financial observability. Her technical leadership has significantly advanced AI adoption and deployment practices across the APAC region, strengthening partner ecosystems and shaping enterprise AI strategies. \u003c\/p\u003e She holds a Master's in Knowledge Engineering from the National University of Singapore and a Doctor of Engineering in AI with a specialization in Temporal Knowledge Graphs in Finance from Singapore Management University. Brindha is deeply passionate about mentoring the next generation of AI professionals and championing diversity and inclusion in the tech industry. Brindha is recognized for her innovative approach to solving complex problems and is a leading voice in the AI community.\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 281\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.65 x 10.02 x 7.03 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e October 02, 2025\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":46408719106092,"sku":"9798868816994","price":59.38,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0618\/6260\/8940\/files\/dIb5SecG1x9798868816994.webp?v=1792165923","url":"https:\/\/littleredgeneralstore.com\/products\/large-language-models-ops-for-finance-a-practical-guide-to-infrastructure-implementation-and-innovation-paperback","provider":"Little Red General Store","version":"1.0","type":"link"}