San Francisco has launched a new data portal that uses machine learning technology to improve the city's performance in various areas, such as transportation and public safety. The portal called the GPT Data Portal, is powered by OpenAI's GPT-3.5 architecture and provides users with access to real-time data analysis and predictions.

The GPT Data Portal is designed to help city officials make data-driven decisions and improve their response times to emerging trends and events. It uses advanced algorithms to analyse data from various sources and generate insights into different aspects of city life, such as traffic congestion and crime rates.

Despite being in beta mode and still under development, the platform is anticipated to provide valuable assistance to the city's transportation department by enabling them to observe traffic patterns and improve traffic flow. Additionally, the police department will have access to the portal, which will allow them to monitor crime trends and respond more efficiently to incidents.

San Francisco's GPT Data Portal is part of a larger trend of cities using machine learning technology to improve their services and better understand the needs of their citizens. As more cities adopt these technologies, the hope is that they will become more efficient and effective in providing essential services to their communities.