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The successful application of large-scale transformer models in Natural Language Processing (NLP) is often hindered by the substantial computational cost and data requirements of full fine-tuning.

ChatGPT can help with many things—creating images, looking up information, role-playing, solving math problems, programming and much more. But at the heart of everything it does are so-called “large ...

Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like Sklearn and MNE. Perfect for data scientists and neuroscience enthusiasts!

Experts say the new policy, which ditches software that automatically captured text messages, opens ample room for both willful and unwitting noncompliance with federal records laws. By Minho Kim ...

One thing that listeners are hearing from tech media, from the developers, and from the general public is concerns about how much energy AI uses. That makes sense, for a number of reasons. One major ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

Unlock automatic understanding of text data! Join our hands-on workshop to explore how Python—and spaCy in particular—helps you process, annotate, and analyze text. This workshop is ideal for data ...

Abstract: Deep learning models have greatly improved various natural language processing tasks. However, their effectiveness depends on large data sets, which can be difficult to acquire. To mitigate ...