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GENERATE BETTER SYNTHETIC DATA
Gretel's novel tabular large language model [https://bit.ly/3Q19s6k] reliably generates synthetic tabular data with zero-shot prompting
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Sponsored
Gretel's novel tabular large language model [https://bit.ly/3Q19s6k] reliably generates synthetic tabular data with zero-shot prompting
One of the coolest and simplest vision papers in recent weeks. Vision Transformers use "useless" pixel values as places to store global information. This makes attention maps uninterpretable. However, if you add a simple [reg] token to the vocabulary, the model will use it and won't store information in pixel values.
This study presents Transformer-VQ, a new design of transformer that processes attention faster thanks to unique vector-based keys and caching.
This study uses visual and language-based tools to improve how systems recognize real vs. fake faces.
With all the new models coming out, it can be somewhat challenging to find a way to pull and run them. It's also hard to remix and remake them easily. This neat little tool, Ollama, makes it easy to test the latest models.
SapientML is an AutoML technology that can learn from a corpus of existing datasets and their human-written pipelines and efficiently generate a high-quality pipeline for a predictive task on a new dataset.