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Pix2Pix-OnTheFly: Leveraging LLMs for Instruction-Guided Image Editing
The combination of language processing and image processing keeps attracting increased interest given recent impressive advances that leverage the combined strengths of both domains of research.
Fostering the Ecosystem of Open Neural Encoders for Portuguese with Albertina PT* Family
To foster the neural encoding of Portuguese, this paper contributes foundation encoder models that represent an expansion of the still very scarce ecosystem of large language models specifically developed for this language that are fully open, in the sense that they are open source and openly distributed for free under an open license for any purpose, thus including research and commercial usages.
Advancing Generative AI for Portuguese with Open Decoder Gervásio PT*
To advance the neural decoding of Portuguese, in this paper we present a fully open Transformer-based, instruction-tuned decoder model that sets a new state of the art in this respect.
Advancing Neural Encoding of Portuguese with Transformer Albertina PT-*
To advance the neural encoding of Portuguese (PT), and a fortiori the technological preparation of this language for the digital age, we developed a Transformer-based foundation model that sets a new state of the art in this respect for two of its variants, namely European Portuguese from Portugal (PT-PT) and American Portuguese from Brazil (PT-BR).
