Artificial intelligence and machine learning, opportunity or threat?
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Sprockel Diaz, J. J. ., Ramírez Rincón, A. ., & Jiménez-Canizales, C. E. . (2023). Artificial intelligence and machine learning, opportunity or threat?. Revista Colombiana De Endocrinología, Diabetes &Amp; Metabolismo, 10(2).


The recent disruption of generative capabilities in the area of artificial intelligence (AI) followed unprecedented successes achieved by transformation and diffusion-based models, which led to substantial growth dependent on the training of "big models", in addition to the enormous availability of data today. The "self-supervised learning" on which AI is based seeks to predict the probability of the next word in a sentence, although the surprise was that the ability to answer questions, summarize, translate text, and know the sentiment of a sentence, all tasks associated with human intelligence, emerged (1).

The launch for public use in November 2022 of ChatGPT, AI initially based on the Generative Pre-trained Transformer 3 (GPT-3) model of the company OpenAI, caused a schism at all levels, both within and outside the scientific field (2) and has induced an unprecedented race for supremacy between technological giants (Microsoft, Google, Meta), large computer vendors (Nvidia), companies of various kinds (Bloomberg), governments (UK), academia (Stanford University) and, most importantly, ordinary people, as is the case with open platforms such as Hugging Face.
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