Diego A. Bonilla

2 weeks ago | dialnet.unirioja.es | Salvador Vargas Molina |Diego A. Bonilla |Luis Alberto Cardozo |Brad J. Schoenfeld

Ayuda Buscar en la ayuda Buscar en la ayuda Importance of professional supervision for improving body composition in resistance-trained men: a preliminary non-randomized study Salvador Vargas Molina [1] ; Diego A. Bonilla [2] ; Jorge L. Petro [2] ; Luis A. Cardozo [3] ; Brad J.

Mar 26, 2025 | mdpi.com | Andrés Rojas Jaramillo |Richard Kreider |Jorge L. Petro |Diego A. Bonilla

All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.

Nov 11, 2024 | medium.com | Diego A. Bonilla

Diego Bonilla·Follow5 min read·--Text processing or natural language processing (NLP), transforms raw textual data into a structured format that neural networks can interpret and analyze. The primary challenge in handling textual data arises from its inherent unstructured nature, high dimensionality, and linguistic complexity. Tokenization is the process of converting raw text into smaller units called tokens.

Oct 29, 2024 | mdpi.com | Diego A. Bonilla |Jorge L. Petro |Richard Kreider |Roberto Cannataro

All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.

Jun 3, 2024 | medium.com | Diego A. Bonilla

Long time no see... 2024 has been a tremendous year for AI. The on the rise trend doesn't seem to end any soon. Image generation, LLMs, Computer Vision, ... every model is getting bigger, more efficient and smarter at the same time. Long gone are the one-task models and the no-free-lunch theorem. The hype is now at multimodal fundational models that can even be executed on phones to perform some unnecesary task that no-one asked for. But, hey! It's AI! Everybody loves AI, right?