Searching a vehicle’s VIN is part of a buyer’s pre-purchase due diligence and is akin to conducting a background check on the car. A VIN Decoder leverages the code to decipher the vehicle’s ...

Large language models (LLMs) have changed the game for machine translation (MT). LLMs vary in architecture, ranging from decoder-only designs to encoder-decoder frameworks. Encoder-decoder models, ...

A pure JavaScript QRCode encode and decode library.

A minimal PyTorch implementation of RNN Encoder-Decoder for sequence to sequence learning. Dzmitry Bahdanau, Kyunghyun Cho, Yoshua Bengio. 2015. Neural Machine Translation by Jointly Learning to Align ...

Cusimano is now a senior scientist specializing in A.I. research at the Earth Species Project (E.S.P.), a nonprofit dedicated to “using artificial intelligence to decode non-human communication.” ...

CETI stands for the Cetacean Translation Initiative, which aims to decode the acoustic communication of sperm whales off Dominica in the Caribbean by leveraging advances in machine learning and ...

In May 2020, Pratyusha Sharma was painstakingly parsing data to prepare for a meeting with her research group at the Massachusetts Institute of Technology, hoping to find a pattern. It wasn’t ...

OpenAI has released its "meta-prompt," a prompt designed to help users create and improve prompts for LLMs more efficiently. The company says this will save time in developing high-quality AI prompts.

Nvidia has introduced a new large language model that outperforms others in alignment benchmarks. The company achieved this through a special training procedure combining evaluation and preference ...