Artificial intelligence (AI) and particularly NLP applications like GenAI have taken the world by surprise from the end of 2022. They really shook R&D plans in 2023: Microsoft snapped a $10Bn deal with OpenAI for the customized use of its ChatGPT...
Several readers have pointed to the confusing terminology "LLM translation" and "NMT translation" in media, talks, and reports. Gartner and industry analysts, for example, only speak about neural machine translation, although...
Data is the fuel powering the AI revolution. However, organizations face a growing challenge: sharing their data with large tech giants for AI model training often means compromising the privacy of their users or sensitive business information. In...
Optical character recognition (OCR) is a tool that uses artificial intelligence algorithms and models to convert images of printed or handwritten text into editable text.
The proliferation of machine translation systems has surged in the global digital landscape, powered primarily by advancements in Natural Language Processing (NLP) and Artificial Intelligence (AI). While these systems exhibit remarkable abilities in...
We will explain what the figure of the NLP practitioner is, how it is characterized, how someone can be trained for it, what requirements must be met, etc.
Artificial intelligence model training is a process in which an algorithm is taught to correctly interpret data and make accurate decisions based on that data, in order to solve certain tasks.
Transfer learning from large language modelsis behind a multitude of successful launches and applications in recent times. While transfer learningas a concept is not new, its application to natural language processing is now opening particularly...
Generative Artificial Intelligence (GenAI) uses deep learning to create new content in various formats. It is based on neural networks, a machine-learning process that mimics the way a human brain learns. By analyzing and training user input data ...
Generative artificial intelligence (ChatGPT, for example) has become very promising for researchers and content creators of all kinds. However, it also poses some risks yet to be explored, such as copyright infringement, among others. As AI tools...
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