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Computational Modelling with Single Prompts
Computational Modelling with Single Prompts
Knygos.lt klubas Knygos.lt nariams
165,89 €
-30%
Įprastai
236,99 €
  • Planuojame turėti už 36 d.
Computational Modelling with Single Prompts provides an overview of computer models of physical phenomena and more. Each chapter is about a different model and contains a complete description together with the algorithm and the result of the operation. There is no mathematics extended to its limits. The book provides a complete description, allowing readers to implement the algorithm themselves. The AI elements in the book relate to the computer implementation and the programmes that have been…

Computational Modelling with Single Prompts (el. knyga) (skaityta knyga) | knygos.lt

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Computational Modelling with Single Prompts provides an overview of computer models of physical phenomena and more. Each chapter is about a different model and contains a complete description together with the algorithm and the result of the operation. There is no mathematics extended to its limits. The book provides a complete description, allowing readers to implement the algorithm themselves. The AI elements in the book relate to the computer implementation and the programmes that have been generated on the basis of the algorithms written. The results of these programmes have been used as illustrations in the book. The book is mainly of use to graduate students working in computational physics, biology, chemistry and computer science.

A video of the author discussing LLM modelling technology can be accessed here: https://www.youtube.com/watch?v=033EJCc1f78.

Key Features:

  • Provides a large collection of very diverse models, the compilation of which is unique
  • Includes elements of artificial intelligence AI and the use of large language models LLM.
  • Consists of a collection of new ideas and additional tasks to be completed independently by the readers.
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Computational Modelling with Single Prompts provides an overview of computer models of physical phenomena and more. Each chapter is about a different model and contains a complete description together with the algorithm and the result of the operation. There is no mathematics extended to its limits. The book provides a complete description, allowing readers to implement the algorithm themselves. The AI elements in the book relate to the computer implementation and the programmes that have been generated on the basis of the algorithms written. The results of these programmes have been used as illustrations in the book. The book is mainly of use to graduate students working in computational physics, biology, chemistry and computer science.

A video of the author discussing LLM modelling technology can be accessed here: https://www.youtube.com/watch?v=033EJCc1f78.

Key Features:

  • Provides a large collection of very diverse models, the compilation of which is unique
  • Includes elements of artificial intelligence AI and the use of large language models LLM.
  • Consists of a collection of new ideas and additional tasks to be completed independently by the readers.

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