BART is an encoder-decoder model that is particularly effective for sequence-to-sequence tasks like summarization, translation, and text generation. Florence-2 is a vision-language model from ...

Meta’s Brain2Qwerty v2 offers a breakthrough non-invasive brain-to-text AI model with 61% word accuracy, challenging Neuralink’s invasive methods by decoding brain signals into text without surgery.

Gemma 4 12B is a 12-billion-parameter decoder-only transformer. It handles text, images, audio, and video natively. There are no separate vision or audio encoders. The decoder uses the same structure ...

A complete walkthrough of implementing the original Attention Is All You Need encoder-decoder Transformer—no torch. nn.Transformer, no shortcuts. The 2017 paper "Attention Is All You Need" by Vaswani ...

This is the official implementation of our paper CAMSIC, a learning-based stereo image compression framework with a simple image encoder-decoder pair, which uses an elegantly neat but powerful ...

Abstract: The automated generation of a NLP of an image has been in the spotlight because it is important in real-world applications and because it involves two of the most critical subfields of ...

This post tries to explain inner blocks of Transformer architecture which is the secret sauce behind all the Large language models and Chatbots with an example. Historically RNN’s like LSTM’s and ...

Abstract: Tamil language processing in NLP has yet to be outstanding, mainly because of the absence of high-quality resources. In this project, a novel approach to address these limitations is to ...