Ankush Sharma (108 results)
- Softcover
Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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- Softcover
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
- Hardcover
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- Hardcover
Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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- Hardcover
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
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HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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- Softcover
Seller: California Books, Miami, FL, U.S.A.California Books
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- Hardcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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- Softcover
- Print on Demand
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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Paperback. Condition: new. Paperback. In a world filled with noise, chaos, and endless distractions, Verses from the Quiet Mind invites readers into a space of stillness, reflection, and emotional honesty.This collection of poems explores the deepest corners of human experience-love and longing, struggle and resilience, spiritua…lity and self-discovery. Through simple yet profound verses, Ankush Sharma reflects on the timeless questions of existence, the beauty and pain of relationships, the search for inner peace, and the enduring values of humanity.Drawing inspiration from philosophy, spirituality, and everyday life, these poems move between the personal and the universal. Some verses whisper about love and memory, others question society and truth, while many journey inward toward meditation, consciousness, and the quiet realization of the self.Whether it is the ache of separation, the wisdom hidden in struggle, or the silence found in meditation, every poem emerges from a contemplative mind seeking meaning beyond the surface of life.Verses from the Quiet Mind is not merely a book of poetry-it is a journey through emotions, thoughts, and reflections that resonate with the soul.For readers who enjoy poetry that blends philosophy, spirituality, love, and introspection, this collection offers moments of pause, reflection, and quiet awakening. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Application of Soft Computing Techniques in Mechanical Engineering
Patnaik, Amar (EDT); Kukshal, Vikas (EDT); Agarwal, Pankaj (EDT); Sharma, Ankush (EDT); Choudhary, Mahavir (EDT)
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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- Softcover
Seller: Basi6 International, Irving, TX, U.S.A.Basi6 International
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Soft Computing in Materials Development and Its Sustainability in the Manufacturing Sector
Patnaik, Amar (EDT); Kukshal, Vikas (EDT); Agarwal, Pankaj (EDT); Sharma, Ankush (EDT); Choudhary, Mahavir (EDT)
Language: English
Published by CRC Press, 2024
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Language: English
Published by CRC Press, 2024
- Softcover
Seller: Basi6 International, Irving, TX, U.S.A.Basi6 International
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Application of Soft Computing Techniques in Mechanical Engineering
Patnaik, Amar (EDT); Kukshal, Vikas (EDT); Agarwal, Pankaj (EDT); Sharma, Ankush (EDT); Choudhary, Mahavir (EDT)
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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US$ 72.47
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Condition: As New. Unread book in perfect condition.
- Softcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
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Paperback. Condition: New. This book is a comprehensive guide designed to equip engineers, data scientists, and AI practitioners with the principles, tools, and strategies needed to ensure reliability, performance, and accountability in Large Language Models (LLMs). The book begins by laying the groundwork with the foundations o…f observability, introducing LLMs, their significance in modern AI, and the critical role observability plays in maintaining robust systems. It then explores SRE principles, service level objectives, and incident response, while distinguishing the unique observability challenges that arise in AI and ML systems. Building on this foundation, the book dives into measuring performance, from defining SLOs tailored for LLMs to monitoring computational and token-level metrics. Readers gain practical insights into structured logging, debugging, and distributed tracing methods that provide visibility into complex LLM workflows. Scaling challenges are addressed through strategies for cross-model observability, autoscaling, latency reduction, and fault-tolerant infrastructure design. The book further explores chaos engineering, guiding readers through resilience testing in LLMs and the automation of chaos experiments in CI/CD pipelines. Finally, it highlights monitoring, retraining, and ethical considerations in AI observability, including governance, privacy, and accountability.In conclusion, this book provides a holistic roadmap to building reliable, transparent, and future-ready LLM systems.What you will learn:How to design observability pipelines for LLMs, including token-level logging, prompt tracing, and latency analysis.Techniques for applying chaos engineering principles to test LLM robustness under stress andfailure scenarios.Methods for building SLOs, SLAs, and dashboards tailored to inference quality and modelreliability.Strategies for monitoring hallucinations, drift, bias, and ethical failures in real-time.Who this book is for:This book is for AI infrastructure engineers, SREs, machine learning platform teams, and applied AI practitioners deploying or maintaining LLM-based applications.
- Softcover
Seller: Rarewaves USA, OSWEGO, IL, U.S.A.Rarewaves USA
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US$ 81.60
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Paperback. Condition: New. This book is a comprehensive guide designed to equip engineers, data scientists, and AI practitioners with the principles, tools, and strategies needed to ensure reliability, performance, and accountability in Large Language Models (LLMs). The book begins by laying the groundwork with the foundations o…f observability, introducing LLMs, their significance in modern AI, and the critical role observability plays in maintaining robust systems. It then explores SRE principles, service level objectives, and incident response, while distinguishing the unique observability challenges that arise in AI and ML systems. Building on this foundation, the book dives into measuring performance, from defining SLOs tailored for LLMs to monitoring computational and token-level metrics. Readers gain practical insights into structured logging, debugging, and distributed tracing methods that provide visibility into complex LLM workflows. Scaling challenges are addressed through strategies for cross-model observability, autoscaling, latency reduction, and fault-tolerant infrastructure design. The book further explores chaos engineering, guiding readers through resilience testing in LLMs and the automation of chaos experiments in CI/CD pipelines. Finally, it highlights monitoring, retraining, and ethical considerations in AI observability, including governance, privacy, and accountability.In conclusion, this book provides a holistic roadmap to building reliable, transparent, and future-ready LLM systems.What you will learn:How to design observability pipelines for LLMs, including token-level logging, prompt tracing, and latency analysis.Techniques for applying chaos engineering principles to test LLM robustness under stress andfailure scenarios.Methods for building SLOs, SLAs, and dashboards tailored to inference quality and modelreliability.Strategies for monitoring hallucinations, drift, bias, and ethical failures in real-time.Who this book is for:This book is for AI infrastructure engineers, SREs, machine learning platform teams, and applied AI practitioners deploying or maintaining LLM-based applications.
Soft Computing in Materials Development and Its Sustainability in the Manufacturing Sector
Patnaik, Amar (EDT); Kukshal, Vikas (EDT); Agarwal, Pankaj (EDT); Sharma, Ankush (EDT); Choudhary, Mahavir (EDT)
Language: English
Published by CRC Press, 2024
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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US$ 79.01
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Condition: As New. Unread book in perfect condition.
- Softcover
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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US$ 73.58
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Condition: New. pages cm.
- Softcover
Seller: California Books, Miami, FL, U.S.A.California Books
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- Softcover
Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Application of Soft Computing Techniques in Mechanical Engineering
Patnaik, Amar (EDT); Kukshal, Vikas (EDT); Agarwal, Pankaj (EDT); Sharma, Ankush (EDT); Choudhary, Mahavir (EDT)
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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US$ 70.75
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Condition: New.
Language: English
Published by CRC Press, 2024
- Softcover
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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Condition: New. pages cm.
- Softcover
Seller: THE SAINT BOOKSTORE, Southport, United KingdomTHE SAINT BOOKSTORE
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US$ 71.83
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Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
- Softcover
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condition: New. pages cm First edition Includes bibliographical references and index.
Soft Computing in Materials Development and Its Sustainability in the Manufacturing Sector
Patnaik, Amar (EDT); Kukshal, Vikas (EDT); Agarwal, Pankaj (EDT); Sharma, Ankush (EDT); Choudhary, Mahavir (EDT)
Language: English
Published by CRC Press, 2024
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Condition: New.
Application of Soft Computing Techniques in Mechanical Engineering
Patnaik, Amar (EDT); Kukshal, Vikas (EDT); Agarwal, Pankaj (EDT); Sharma, Ankush (EDT); Choudhary, Mahavir (EDT)
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: Used - As new
US$ 75.82
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Condition: As New. Unread book in perfect condition.
- Softcover
Seller: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, GermanyRheinberg-Buch Andreas Meier eK
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US$ 69.87
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Taschenbuch. Condition: Neu. Neuware -This book is a comprehensive guide designed to equip engineers, data scientists, and AI practitioners with the principles, tools, and strategies needed to ensure reliability, performance, and accountability in Large Language Models (LLMs). The book begins by laying the groundwork with the fo…undations of observability, introducing LLMs, their significance in modern AI, and the critical role observability plays in maintaining robust systems. It then explores SRE principles, service level objectives, and incident response, while distinguishing the unique observability challenges that arise in AI and ML systems. Building on this foundation, the book dives into measuring performance, from defining SLOs tailored for LLMs to monitoring computational and token-level metrics. Readers gain practical insights into structured logging, debugging, and distributed tracing methods that provide visibility into complex LLM workflows. Scaling challenges are addressed through strategies for cross-model observability, autoscaling, latency reduction, and fault-tolerant infrastructure design. The book further explores chaos engineering, guiding readers through resilience testing in LLMs and the automation of chaos experiments in CI/CD pipelines. Finally, it highlights monitoring, retraining, and ethical considerations in AI observability, including governance, privacy, and accountability.In conclusion, this book provides a holistic roadmap to building reliable, transparent, and future-ready LLM systems.What you will learn:How to design observability pipelines for LLMs, including token-level logging, prompt tracing, and latency analysis.Techniques for applying chaos engineering principles to test LLM robustness under stress andfailure scenarios.Methods for building SLOs, SLAs, and dashboards tailored to inference quality and modelreliability.Strategies for monitoring hallucinations, drift, bias, and ethical failures in real-time.Who this book is for:This book is for AI infrastructure engineers, SREs, machine learning platform teams, and applied AI practitioners deploying or maintaining LLM-based applications. 264 pp. Englisch.
