Prasanth Aruchamy (70 results)
Generative Ai and Llms : Natural Language Processing and Generative Adversarial Networks
Balasubramaniam, S. (EDT); Kadry, Seifedine (EDT); Prasanth, Aruchamy (EDT); Kumar Dhanaraj, Rajesh (EDT)
- Hardcover
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Generative Ai and Llms : Natural Language Processing and Generative Adversarial Networks
Balasubramaniam, S. (EDT); Kadry, Seifedine (EDT); Prasanth, Aruchamy (EDT); Kumar Dhanaraj, Rajesh (EDT)
- Hardcover
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Generative Ai and Llms : Natural Language Processing and Generative Adversarial Networks
Balasubramaniam, S. (EDT); Kadry, Seifedine (EDT); Prasanth, Aruchamy (EDT); Kumar Dhanaraj, Rajesh (EDT)
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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- Hardcover
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- Softcover
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- Hardcover
- First Edition
Seller: Rarewaves USA, OSWEGO, IL, U.S.A.Rarewaves USA
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Hardback. Condition: New. 1st. Generative artificial intelligence (GAI) and large language models (LLM) are machine learning algorithms that operate in an unsupervised or semi-supervised manner. These algorithms leverage pre-existing content, such as text, photos, audio, video, and code, to generate novel content. The primary ob…jective is to produce authentic and novel material. In addition, there exists an absence of constraints on the quantity of novel material that they are capable of generating. New material can be generated through the utilization of Application Programming Interfaces (APIs) or natural language interfaces, such as the ChatGPT developed by Open AI and Bard developed by Google. The field of generative artificial intelligence (AI) stands out due to its unique characteristic of undergoing development and maturation in a highly transparent manner, with its progress being observed by the public at large. The current era of artificial intelligence is being influenced by the imperative to effectively utilise its capabilities in order to enhance corporate operations. Specifically, the use of large language model (LLM) capabilities, which fall under the category of Generative AI, holds the potential to redefine the limits of innovation and productivity. However, as firms strive to include new technologies, there is a potential for compromising data privacy, long-term competitiveness, and environmental sustainability. This book delves into the exploration of generative artificial intelligence (GAI) and LLM. It examines the historical and evolutionary development of generative AI models, as well as the challenges and issues that have emerged from these models and LLM. This book also discusses the necessity of generative AI-based systems and explores the various training methods that have been developed for generative AI models, including LLM pretraining, LLM fine-tuning, and reinforcement learning from human feedback. Additionally, it explores the potential use cases, applications, and ethical considerations associated with these models. This book concludes by discussing future directions in generative AI and presenting various case studies that highlight the applications of generative AI and LLM.
Generative Ai and Llms : Natural Language Processing and Generative Adversarial Networks
Balasubramaniam, S. (EDT); Kadry, Seifedine (EDT); Prasanth, Aruchamy (EDT); Kumar Dhanaraj, Rajesh (EDT)
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Climate Smart Agriculture
Velu, Anitha (EDT); Prasanth, A. (EDT); Ramamoorthy, Raghu (EDT); Dhanaraj, Rajesh Kumar (EDT); Kadry, Seifedine (EDT)
- Hardcover
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- Hardcover
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , GermanyBuchWeltWeit Ludwig Meier e.K.
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Buch. Condition: Neu. Neuware - Generative artificial intelligence (GAI) and large language models (LLM) are machine learning algorithms that operate in an unsupervised or semi-supervised manner. These algorithms leverage pre-existing content, such as text, photos, audio, video, and code, to generate novel content. The primary o…bjective is to produce authentic and novel material. In addition, there exists an absence of constraints on the quantity of novel material that they are capable of generating. New material can be generated through the utilization of Application Programming Interfaces (APIs) or natural language interfaces, such as the ChatGPT developed by Open AI and Bard developed by Google. The field of generative artificial intelligence (AI) stands out due to its unique characteristic of undergoing development and maturation in a highly transparent manner, with its progress being observed by the public at large. The current era of artificial intelligence is being influenced by the imperative to effectively utilise its capabilities in order to enhance corporate operations. Specifically, the use of large language model (LLM) capabilities, which fall under the category of Generative AI, holds the potential to redefine the limits of innovation and productivity. However, as firms strive to include new technologies, there is a potential for compromising data privacy, long-term competitiveness, and environmental sustainability. This book delves into the exploration of generative artificial intelligence (GAI) and LLM. It examines the historical and evolutionary development of generative AI models, as well as the challenges and issues that have emerged from these models and LLM. This book also discusses the necessity of generative AI-based systems and explores the various training methods that have been developed for generative AI models, including LLM pretraining, LLM fine-tuning, and reinforcement learning from human feedback. Additionally, it explores the potential use cases, applications, and ethical considerations associated with these models. This book concludes by discussing future directions in generative AI and presenting various case studies that highlight the applications of generative AI and LLM. Englisch.
- Hardcover
Seller: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, , GermanyRheinberg-Buch Andreas Meier eK
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Buch. Condition: Neu. Neuware - Generative artificial intelligence (GAI) and large language models (LLM) are machine learning algorithms that operate in an unsupervised or semi-supervised manner. These algorithms leverage pre-existing content, such as text, photos, audio, video, and code, to generate novel content. The primary o…bjective is to produce authentic and novel material. In addition, there exists an absence of constraints on the quantity of novel material that they are capable of generating. New material can be generated through the utilization of Application Programming Interfaces (APIs) or natural language interfaces, such as the ChatGPT developed by Open AI and Bard developed by Google. The field of generative artificial intelligence (AI) stands out due to its unique characteristic of undergoing development and maturation in a highly transparent manner, with its progress being observed by the public at large. The current era of artificial intelligence is being influenced by the imperative to effectively utilise its capabilities in order to enhance corporate operations. Specifically, the use of large language model (LLM) capabilities, which fall under the category of Generative AI, holds the potential to redefine the limits of innovation and productivity. However, as firms strive to include new technologies, there is a potential for compromising data privacy, long-term competitiveness, and environmental sustainability. This book delves into the exploration of generative artificial intelligence (GAI) and LLM. It examines the historical and evolutionary development of generative AI models, as well as the challenges and issues that have emerged from these models and LLM. This book also discusses the necessity of generative AI-based systems and explores the various training methods that have been developed for generative AI models, including LLM pretraining, LLM fine-tuning, and reinforcement learning from human feedback. Additionally, it explores the potential use cases, applications, and ethical considerations associated with these models. This book concludes by discussing future directions in generative AI and presenting various case studies that highlight the applications of generative AI and LLM. Englisch.
- Hardcover
Seller: Wegmann1855, Zwiesel, , GermanyWegmann1855
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Buch. Condition: Neu. Neuware -Generative artificial intelligence (GAI) and large language models (LLM) are machine learning algorithms that operate in an unsupervised or semi-supervised manner. These algorithms leverage pre-existing content, such as text, photos, audio, video, and code, to generate novel content. The primary ob…jective is to produce authentic and novel material. In addition, there exists an absence of constraints on the quantity of novel material that they are capable of generating. New material can be generated through the utilization of Application Programming Interfaces (APIs) or natural language interfaces, such as the ChatGPT developed by Open AI and Bard developed by Google. The field of generative artificial intelligence (AI) stands out due to its unique characteristic of undergoing development and maturation in a highly transparent manner, with its progress being observed by the public at large. The current era of artificial intelligence is being influenced by the imperative to effectively utilise its capabilities in order to enhance corporate operations. Specifically, the use of large language model (LLM) capabilities, which fall under the category of Generative AI, holds the potential to redefine the limits of innovation and productivity. However, as firms strive to include new technologies, there is a potential for compromising data privacy, long-term competitiveness, and environmental sustainability. This book delves into the exploration of generative artificial intelligence (GAI) and LLM. It examines the historical and evolutionary development of generative AI models, as well as the challenges and issues that have emerged from these models and LLM. This book also discusses the necessity of generative AI-based systems and explores the various training methods that have been developed for generative AI models, including LLM pretraining, LLM fine-tuning, and reinforcement learning from human feedback. Additionally, it explores the potential use cases, applications, and ethical considerations associated with these models. This book concludes by discussing future directions in generative AI and presenting various case studies that highlight the applications of generative AI and LLM.
Climate Smart Agriculture
Velu, Anitha (EDT); Prasanth, A. (EDT); Ramamoorthy, Raghu (EDT); Dhanaraj, Rajesh Kumar (EDT); Kadry, Seifedine (EDT)
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Climate Smart Agriculture
Velu, Anitha (EDT); Prasanth, A. (EDT); Ramamoorthy, Raghu (EDT); Dhanaraj, Rajesh Kumar (EDT); Kadry, Seifedine (EDT)
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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- Softcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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- Hardcover
Seller: moluna, Greven, , Germanymoluna
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Condition: New. S. Balasubramaniam, S. Kadry, Norway A. Prasanth, R. Dhanaraj, India. Generative artificial intelligence (GAI) and large language models (LLM) are machine learning algorithms.
Drones for Transportation Logistics and Disaster Management
Aruchamy, Prasanth (EDT); Dhanaraj, Rajesh Kumar (EDT); Sabharwal, Munish (EDT); Sharma, Vandana (EDT); Kadry, Seifedine (EDT)
- Hardcover
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- Hardcover
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Climate Smart Agriculture
Velu, Anitha (EDT); Prasanth, A. (EDT); Ramamoorthy, Raghu (EDT); Dhanaraj, Rajesh Kumar (EDT); Kadry, Seifedine (EDT)
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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- Softcover
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Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
- Softcover
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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- Softcover
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- Hardcover
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HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
- Hardcover
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- Hardcover
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- Hardcover
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Buch. Condition: Neu. Generative AI and LLMs | Natural Language Processing and Generative Adversarial Networks | S. Balasubramaniam (u. a.) | Buch | XIV | Englisch | 2024 | Walter de Gruyter | EAN 9783111424637 | Verantwortliche Person für die EU: Walter de Gruyter GmbH, De Gruyter GmbH, Genthiner Str. 13, 10785 Berlin, products…afety[at]degruyterbrill[dot]com | Anbieter: preigu.
- Hardcover
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- Softcover
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