In this episode, we’re exploring just how useful Large Language Models (LLMs) are when it comes to spreadsheets; what needs to happen by 18 November when it comes to Companies House ID verification; and how the OBR comes to its conclusions. Host Philippa Lamb is joined by Simon Thorne, Senior Lecturer in Computer Science, Cardiff Metropolitan University, to talk about his research into LLMs' effectiveness when it comes to spotting errors in spreadsheets, with some clear winners and losers fro...
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In this episode, we’re exploring just how useful Large Language Models (LLMs) are when it comes to spreadsheets; what needs to happen by 18 November when it comes to Companies House ID verification; and how the OBR comes to its conclusions. Host Philippa Lamb is joined by Simon Thorne, Senior Lecturer in Computer Science, Cardiff Metropolitan University, to talk about his research into LLMs' effectiveness when it comes to spotting errors in spreadsheets, with some clear winners and losers fro...
Behind the Numbers: Rebuilding trust in volatile times
Accountancy Insights
52 minutes
5 months ago
Behind the Numbers: Rebuilding trust in volatile times
Accountancy Insights is celebrating its 100th episode. To mark the occasion, we’ve brought together experts from across business, politics and technology to look at a fundamental problem that’s holding back economic growth: trust. Just how deep is the trust crisis in business and institutions that we hear so much about? And how can it possibly be rebuilt as economic volatility persists? We set the scene by discussing President Trump’s recent trade negotiations. Next, as Marks &a...
Accountancy Insights
In this episode, we’re exploring just how useful Large Language Models (LLMs) are when it comes to spreadsheets; what needs to happen by 18 November when it comes to Companies House ID verification; and how the OBR comes to its conclusions. Host Philippa Lamb is joined by Simon Thorne, Senior Lecturer in Computer Science, Cardiff Metropolitan University, to talk about his research into LLMs' effectiveness when it comes to spotting errors in spreadsheets, with some clear winners and losers fro...
