Finance Large Language Models (37 results)

Condition: New.

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Paperback. Condition: New. Explore 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. 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. Large Language Models Ops for Finance is your essential guide to discovering the transformative potential of LLMs in the finance industry.  What You Will Learn?        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 systemsWho This Book Is ForAI and ML engineers, data scientists, and finance professionals interested in implementing and managing large language models within the finance industry.…

Paperback. Condition: New. Explore 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. 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. Large Language Models Ops for Finance is your essential guide to discovering the transformative potential of LLMs in the finance industry.  What You Will Learn?        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 systemsWho This Book Is ForAI and ML engineers, data scientists, and finance professionals interested in implementing and managing large language models within the finance industry.…

Paperback or Softback. Condition: New. Large Language Models in Finance: A hands-on guide to LLM architectures, agents, RAG, governance, and evaluation in finance. Book.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New.

Paperback. Condition: New. Explore 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. 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. Large Language Models Ops for Finance is your essential guide to discovering the transformative potential of LLMs in the finance industry.  What You Will Learn?        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 systemsWho This Book Is ForAI and ML engineers, data scientists, and finance professionals interested in implementing and managing large language models within the finance industry.…

Condition: New.

Taschenbuch. Condition: Neu. Large Language Models Ops for Finance | A Practical Guide to Infrastructure, Implementation, and Innovation | Brindha Priyadarshini Jeyaraman | Taschenbuch | xvii | Englisch | 2025 | Apress | EAN 9798868816994 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Condition: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.…

Paperback. Condition: New. Explore 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. 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. Large Language Models Ops for Finance is your essential guide to discovering the transformative potential of LLMs in the finance industry.  What You Will Learn?        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 systemsWho This Book Is ForAI and ML engineers, data scientists, and finance professionals interested in implementing and managing large language models within the finance industry.…

Taschenbuch. Condition: Neu. Neuware - Reactive PublishingHarness the cutting edge of artificial intelligence to revolutionize your trading strategies.Generative AI for Trading is a groundbreaking guide that bridges the gap between advanced machine learning models and real-world financial applications. This premium volume shows traders, quants, and AI enthusiasts how to use Generative Adversarial Networks (GANs), Large Language Models (LLMs), and synthetic data pipelines to create next-generation trading systems.Inside, you'll discover how to: - Generate synthetic financial datasets to overcome data scarcity and bias.- Build market simulations that mirror real-world complexity for robust backtesting.- Engineer alpha-generating signals with GANs, diffusion models, and transformer-based LLMs.- Integrate generative AI into risk management, portfolio optimization, and options trading.- Deploy scalable Python frameworks for end-to-end trading research and automation.With practical coding examples, step-by-step frameworks, and strategic insights, this book equips you to go beyond conventional algorithms and tap into the creative power of generative AI.Whether you are a quant developer, algorithmic trader, or researcher, Generative AI for Trading will give you the tools to stay ahead in the evolving landscape of global markets.…

Condition: New.

Condition: new.

Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: As New. Unread book in perfect condition.

Condition: New. 2025. 1st Edition. hardcover. . . . . .

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book highlights how AI agents and Large Language Models (LLMs) are set to revolutionize the finance and trading sectors in unprecedented ways. These technologies bring a new level of sophistication to data analysis and decision-making, enabling real-time processing of vast and complex datasets with unparalleled accuracy and speed. AI agents, equipped with advanced machine learning algorithms, can identify patterns and predict market trends with a level of precision that may soon surpass human capabilities. LLMs, on the other hand, facilitate the interpretation and synthesis of unstructured data, such as financial news, reports, and social media sentiments, providing deeper insights and more informed trading strategies. This convergence of AI and LLM technology not only enhances the efficiency and profitability of trading operations but also introduces a paradigm shift in risk management, compliance, and personalized financial services. As these technologies continue to evolve, they promise to democratize access to sophisticated trading tools and insights, leveling the playing field for individual traders and smaller financial institutions while driving innovation and growth across the entire financial ecosystem.…

Condition: New. In English.

Condition: New. 2025. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.

Condition: new. Questo è un articolo print on demand.

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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Explore 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. 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. Large Language Models Ops for Finance is your essential guide to discovering the transformative potential of LLMs in the finance industry. What You Will Learn Review LLMs and their applications in finance. 281 pp. Englisch.…

Paperback. Condition: new. Paperback. Explore 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. 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 youll take a close look at maintaining compliance with regulations while safeguarding sensitive information. Youll 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. Large Language Models Ops for Finance is your essential guide to discovering the transformative potential of LLMs in the finance industry. What You Will Learn 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 systemsWho This Book Is ForAI and ML engineers, data scientists, and finance professionals interested in implementing and managing large language models within the finance industry. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Explore 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. 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. Large Language Models Ops for Finance is your essential guide to discovering the transformative potential of LLMs in the finance industry. What You Will Learn Review LLMs and their applications in finance.…