...the team built and prototyped an Alpha of what would become Data Hub. Now in Public Beta, the service has over 2,000 monthly users, capturing over 1,000 interactions daily and...
...website had built up a significant amount of legacy code bloat and design inconsistencies. Re-imagining the service helped us address many of these issues, and we continue to work hard...
...depth and develop a better understanding of the benefits and challenges facing specific groups and individuals. To verify time-saving calculations and to better understand how M365 Copilot is used, we...
Introduction Annie Lewis There is growing demand in government for deeper, more strategic research. Policy colleagues and digital delivery teams want to better understand the people (and in the Department...
...or concept that I do not understand. What is code? Where is the cloud? One of the best bits about this DDaT team is there is never any shame in...
...from unstructured data, or even write code. Government departments routinely handle confidential and personal data. Therefore, using public AI tools that transmit data externally can post significant security and privacy...
...across use cases: users were most satisfied with M365 Copilot when reviewing code, summarising research, drafting documents and transcribing and summarising Teams meetings. In contrast, users were less satisfied using...
...input text, FactVerifAI uses its extract claims function (see code) to identify fact-checkable claims based on the model's understanding. Retrieve - for each extracted claim, it queries web search APIs...
...forward-thinking process. It is about helping teams build better services, not just pass a test. In this blog, we will share how we have matured the process, and what we...
...comments stream where appropriate, using their own name, and signalling that they are commenting in an official capacity. The Civil Service Code has further guidance on online participation for staff....
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