GetFreed AI
GetFreed AI is an AI assistant designed for counselors and coaches to automatically summarize session highlights.
Szczegółowe wprowadzenie
Supports text and audio input, generating real-time insights and action recommendations to boost session efficiency.
WięcejSztuczna inteligencja
AutoDroid-V2: Boosting SLM-based GUI Agents via Code Generation
Discover an innovative approach to mobile UI agents with a cutting-edge solution from Tsinghua University that leverages the power of Small Language Models (SLMs) to automate tasks on-device. Our method addresses the privacy and cost concerns associated with large language models (LLMs) by offering a domain-specific, compact model trained with high-quality data. This breakthrough transforms the UI task automation challenge into a code generation problem, efficiently tackled by an SLM and executed with an on-device code interpreter. Our document-centered strategy automatically constructs detailed API documentation for each app, creating diverse task samples to guide the agent in learning to generate accurate and efficient scripts for unseen tasks. Experience the future of mobile UI interactions with our solution, boasting significantly higher success rates, lower latency, and reduced token consumption compared to state-of-the-art mobile UI agents. Stay ahead with our open-source code, set to revolutionize the field.
Mental Health Data at WHO
The World Health Organization (WHO) provides a comprehensive collection of global health data, including mental health statistics. This resource offers insights into various mental health conditions and their prevalence, helping researchers and policymakers understand and address mental health challenges worldwide.
Data Science for COVID-19 (DS4C)
The DS4C dataset is a structured collection of COVID-19 data from South Korea, based on reports from the Korea Centers for Disease Control & Prevention (KCDC) and local governments. It includes information on infections, patient routes, and various analyses. The dataset has been used for multiple research and visualization projects.