12 citations · 12 across the 2 of their papers we have counts for
3 papers
Speed and Conversational Large Language Models: Not All Is About Tokens per Second
Javier Conde, Miguel González, Pedro Reviriego +3
The speed of open-weights large language models (LLMs) and its dependency on the task at hand, when run on GPUs, is studied to present a comparative analysis of the speed of the mo…
Recursive InPainting (RIP): how much information is lost under recursive inferences?
Javier Conde, Miguel González, Gonzalo Martínez +3
The rapid adoption of generative artificial intelligence (AI) is accelerating content creation and modification. For example, variations of a given content, be it text or images, c…
Open Conversational LLMs do not know most Spanish words
Javier Conde, Miguel González, Nina Melero +5
The growing interest in Large Language Models (LLMs) and in particular in conversational models with which users can interact has led to the development of a large number of open-s…