PersonaGym: A dynamic AI framework for comprehensive assessment of LLM Persona agents
Wide Language Model (LLM) agents are experiencing rapid diversification in their applications, ranging from customer support chatbots to code generation ...
Tag: Dynamic
NotchNook gives MacBooks their own Dynamic Island
Much like Dynamic Island, NotchNook expands from the notch to reveal a “Nook” with basic media controls (similar to iOS’s ...
iOS 18 has a new color-changing and “dynamic” wallpaper
The third iOS 18 developer beta includes a "dynamic" version of the default iOS 18 wallpaper that changes color, as ...
WorldBench: A dynamic and flexible benchmark for the LLM composed of country-specific data from the World Bank
Large language models (LLMs) have gained significant attention for their impressive performance on a variety of tasks, from summarizing news ...
From MOCO v1 to v3: Towards building a dynamic dictionary for self-supervised learning — Part 1 | by Mengliu Zhao | Jul, 2024
A brief overview of the boost contrast learning frameworkHave we reached the era of self-supervised learning?Data flows every day. People ...
ProgressGym: A machine learning framework for dynamic ethical alignment in cutting-edge AI systems
Cutting-edge ai systems, including LLMs, increasingly shape human beliefs and values by acting as personal assistants, educators, and authors. These ...
DynamicBind: A Deep Learning Approach for Dynamic Protein-Ligand Docking and Drug Discovery
While significant progress has been made in predicting static protein structures, understanding protein dynamics, influenced by ligands, is essential to ...
How LotteON built dynamic A/B testing for their personalized recommendation system
This post is co-written with HyeKyung Yang, Jieun Lim, and SeungBum Shim from LotteON. LotteON is transforming itself into an ...
Pseudogeneralized dynamic view synthesis from video
Rendering scenes observed in monocular video from novel viewpoints is a challenging problem. For static scenes, the community has studied ...
Hierarchical and dynamic warning compression for efficient use of the Zero-shot API
Long indications present a significant challenge for practical LLM-based systems that need to operate with low latency and limited resources. ...
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