Advantages and Disadvantages of LLM Machine Translation versus Neural Machine Translation
2023 will be remembered for the two methodologies that have emerged as leaders: Large Language Models (LLMs) and Neural Machine Translation (NMT) systems.
2023 will be remembered for the two methodologies that have emerged as leaders: Large Language Models (LLMs) and Neural Machine Translation (NMT) systems.
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...
Using data is essentialfor companies, institutions and public entities, whether it be for decision-making or to carry out scientific, economic or social studies.
However, to make use of data (store it, share it, analyze it, etc.), personal...