Price: $164.99
(as of Dec 24,2024 05:35:23 UTC – Details)

Publisher ‏ : ‎ De Gruyter; 1st edition (August 6, 2024)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 444 pages
ISBN-10 ‏ : ‎ 3111344002
ISBN-13 ‏ : ‎ 978-3111344003
Item Weight ‏ : ‎ 1.99 pounds
Dimensions ‏ : ‎ 6.69 x 1 x 9.61 inches

Artificial Intelligence: Machine Learning, Convolutional Neural Networks and Large Language Models (Intelligent Computing, 1)

Artificial Intelligence (AI) has revolutionized the way we interact with technology, from voice assistants like Siri and Alexa to autonomous vehicles and smart homes. At the heart of AI are powerful algorithms that enable machines to learn from data and make intelligent decisions.

Machine learning is a subfield of AI that focuses on developing algorithms that can learn from and make predictions or decisions based on data. One popular approach to machine learning is deep learning, which uses neural networks to model complex patterns in large datasets.

Convolutional Neural Networks (CNNs) are a type of neural network that is particularly well-suited for analyzing visual data, such as images and videos. CNNs have been used in a wide range of applications, including image recognition, object detection, and medical imaging.

Large language models, such as OpenAI’s GPT-3, have gained attention in recent years for their ability to generate human-like text. These models are trained on vast amounts of text data and can generate coherent and contextually relevant sentences.

In this post, we will explore the key concepts and applications of machine learning, convolutional neural networks, and large language models in the field of artificial intelligence. Stay tuned for more insights on how these technologies are shaping the future of intelligent computing.
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