Splitting text strings into tokens is useful because GPT models see text in the form of tokens. Knowing how many tokens are in a text string can tell you a) whether the string is too long for a text ...

The solution combines video decoding, AI inference, and encoding on a single chip, offering 80% hardware cost savings ...

Abstract: To perform reliable information processing in quantum computers, quantum error correction (QEC) codes are essential for the detection and correction of ...

Abstract: Streaming forward erasure correction (FEC) is effective for achieving low-latency packet delivery over loss links. Two decoding strategies, namely the forward-first or backward-first ...