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Introducing a small portion of proprietary phenomics data from Recursion into the training of MolGPS, our foundation model for molecular property prediction, led to massive performance increases on new & existing benchmarks. Learn more about the impact of data & scale.

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Valence Labs

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10,091 просмотров • 1 год назад •via X (Twitter)

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Фото профиля Valence Labs
Valence Labs1 год назад

Positive effects were apparent in our initial experiments with the 1B parameter version of MolGPS. The inclusion of @RecursionPharma's data led to an improvement equivalent to scaling the model by a factor of 50. Read the paper for more details:

Фото профиля Valence Labs
Valence Labs1 год назад

Further scaling of the model to 3B parameters led to continued performance gains on ADME and protein binding tasks in @Polaris_HQ, a new benchmarking platform for drug discovery. Explore the results here:

Фото профиля Squeeze Kid
Squeeze Kid1 год назад

@RecursionPharma $RXRX

Фото профиля Squeeze Kid
Squeeze Kid1 год назад

@RecursionPharma @afterhourbot hunt great video to understand what $RXRX does

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