Last edited 09 Jul 2024

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BSRIA Institute / association Website

Transformer

The Illustrated Guide to Electrical Building Services, Third Edition (BG 32/2014), by David Bleicher & Peter Tse, published by BSRIA in 2014, suggests that: ‘Transformers convert electrical energy to either a higher or lower voltage. In their most basic form, they consist of two coils of wire wrapped round an iron core... There is no electrical connection between the primary and secondary coils, however the alternating current (AC) in the primary coil produces an alternating magnetic field in the core. This in turn induces an alternating current in the secondary coil.’

According to the UK 'Artificial intelligence (AI) glossary' dated January 2024. "Transformers have greatly improved natural language processing, computer vision and robotic capabilities and the ability of AI models to generate text (UK Post Brief 57 'Artificial intelligence: An explainer'). A transformer can read vast amounts of text, spot patterns in how words and phrases relate to each other, and then make predictions about what word should come next. This ability to spot patterns in how words and phrases relate to each other is a key innovation, which has allowed AI models using transformer architectures to achieve a greater level of comprehension than previously possible. See also artificial neutral networks and generative adversarial networks.'

--BSRIA

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