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...
...with accessibility in mind from the outset. We were lucky that DBT had already accepted it should meet the Technology Code of Practice and Service Standard for all services, regardless...
...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...
...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...
...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...
...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...
...us to handle increasingly large datasets. Looking ahead, we’re exploring how to make the platform multi-modal supporting a broader range of storage options. This includes investigating how we can better...
...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...
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