Foundation Models for Natural Language Processing: Pre-trained Language Models Integrating Media (Artificial Intelligence: Foundations, Theory, and Algorithms)

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Publisher ‏ : ‎ Springer; 1st ed. 2023 edition (May 24, 2023)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 454 pages
ISBN-10 ‏ : ‎ 3031231899
ISBN-13 ‏ : ‎ 978-3031231896
Item Weight ‏ : ‎ 2.31 pounds
Dimensions ‏ : ‎ 6.14 x 1 x 9.21 inches

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Foundation Models for Natural Language Processing: Pre-trained Language Models Integrating Media (Artificial Intelligence: Foundations, Theory, and Algorithms)

In recent years, pre-trained language models have revolutionized the field of natural language processing (NLP). These models, such as BERT, GPT-3, and T5, are trained on vast amounts of text data and have shown remarkable performance on a wide range of NLP tasks.

One exciting development in this area is the integration of media, such as images, videos, and audio, into pre-trained language models. By incorporating multimodal information, these models can better understand and generate content that combines text with other forms of media.

This integration of media into pre-trained language models has the potential to significantly enhance the capabilities of NLP systems. For example, a model that can understand both text and images could be used to generate captions for photos, or to answer questions about visual content.

In our upcoming book, “Artificial Intelligence: Foundations, Theory, and Algorithms,” we explore the latest research and developments in pre-trained language models that integrate media. We discuss the challenges and opportunities of multimodal NLP, and provide practical guidance on how to build and deploy these advanced models.

Stay tuned for more updates on this exciting topic, and learn how you can leverage pre-trained language models integrating media to enhance your NLP applications.
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