Asynchronous, dynamic, resource-efficient federated learning for a digital twin-powered IoT network
Digital twin (DT) technology is becoming increasingly popular as a method of providing Internet of Things (IoT) devices with dynamic ...
Tag: Dynamic
Turing-Complete-RAG (TC-RAG): An innovative framework that improves accuracy and reliability in medical LLMs through dynamic state management and adaptive recovery
The field of large language models (LLMs) has evolved rapidly, particularly in specialized domains such as medicine, where accuracy and ...
Haize Labs introduced Sphynx: a cutting-edge solution for AI-powered hallucination detection with dynamic testing and fuzzing techniques
Haize Labs has recently introduced Sphinxan innovative tool designed to address the persistent challenge of hallucinations in ai models. In ...
LazyLLM: Dynamic token pruning for efficient LLM inference in long contexts
This article was accepted at the Workshop on Efficient Systems for Foundation Models at ICML 2024 Inference of large transformer-based ...
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 ...
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 ...
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