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 ...

Every task we perform on a computer—whether number crunching, watching a video, or typing out an article—requires different ...

This is the official repository of paper Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching. We propose Distilled Decoding (DD) to distill a pre-trained image ...

ESET researchers offer a deep dive analysis of the CVE 2025 50165 vulnerability and provide their method to reproduce the crash using a simple 12-bit or 16-bit JPG image, and an examination of the ...

Abstract: Crowd counting is a task of intelligent applications, and its operation efficiency is very important. However, in order to obtain a better counting performance, most of the existing works ...

ESET researchers provide a comprehensive analysis and assessment of a critical severity vulnerability with low likelihood of ...

Transformers have revolutionized deep learning, but have you ever wondered how the decoder in a transformer actually works? In this video, we break down Decoder Architecture in Transformers step by ...

Abstract: This paper focuses on the privacy-preserving security control issue for cyber-physical systems (CPSs) via an encoding-decoding communication scheme (EDCS). To considerably contemplate the ...