Recap of October 2020: Vision Transformers rethink image recognition
The Vision Transformer paper explored applying transformer architectures to image recognition, widening the architecture's influence.
Read moreEmpowering Brands, Redefining Possibilities
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The Vision Transformer paper explored applying transformer architectures to image recognition, widening the architecture's influence.
Read moreMicrosoft announced an exclusive licence for GPT-3, while API access remained a distinct route for developers.
Read moreImage GPT provided a research lens for understanding how sequence modelling could extend beyond text. This is a continuing-trend review, not a claim of an August launch.
Read moreThe CASP14 assessment period made protein structure prediction a useful example of AI working on scientific problems. This article discusses the assessment period, not the November result announcement.
Read moreOpenAI announced an API, creating a route for developers to build products around its language models.
Read moreThe GPT-3 paper demonstrated that a large language model could perform a range of tasks from instructions and examples.
Read moreJukebox explored generating music with singing, showing both the creative possibilities and the limitations of early audio generation.
Read moreCORD-19 brought together coronavirus research literature for machine-assisted discovery during the pandemic.
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