Category: Research and Development

Certain LLMs fall behind in real-world applications

3D model creation evolves, shedding slow optimization.

Evaluating AI’s grasp of lengthy contexts with Ada-LEval.

Explore Policy-Guided Diffusion’s Role in Enhancing AI

RealKIE, a benchmark of five challenging datasets, aims to advance key information extraction methods for enterprise applications. The diverse range of datasets offers a comprehensive testing ground for these methods.

The fundamental elements of the Orb’s software have been released on GitHub, with a dual MIT/Apache 2.0 license.

The PyTorch implementation of “ASTRA: An Action Spotting TRAnsformer for Soccer Videos”, presented at ACM MMSports 2023, has achieved third place in the SoccerNet Action Spotting Challenge 2023. This implementation, developed by arturxe2, showcases the effectiveness of ASTRA in accurately identifying and localizing actions within soccer videos.

Research on linear attention has gained significant momentum in a bid to reduce the computational load of Transformers. However, improvement strategies for attention mechanisms continue to be developed.

Opera has announced that it will now permit users to download and utilize Large Language Models (LLMs) locally on their desktop.

A novel approach for autonomous driving trajectory generation is introduced, harnessing the strengths of diffusion probabilistic models.