Frontis-MA1
Frontis-MA1 is a family of open-weight large language models post-trained to act as agents for machine learning engineering (MLE), released in late July 2026 by FrontisAI
Explore learning methods, model architectures, datasets, and practical applications.
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Frontis-MA1 is a family of open-weight large language models post-trained to act as agents for machine learning engineering (MLE), released in late July 2026 by FrontisAI
GEM (Generative Ads Recommendation Model) is a proprietary foundation model for advertising recommendation developed by Meta Platforms.
GlucoFM is a self-supervised foundation model for continuous glucose monitoring (CGM) data developed by Google Research.
Graph machine learning models are neural networks designed to operate on data structured as graphs, where the input is a set of nodes connected by edges rather than a grid like an image or a sequence like text.
Jev is an AI model released in early access on 15 September 2026 by TypeSafe AI, a San Francisco startup founded in 2024 by former OpenAI researcher Diogo Almeida with Erik Gafni and Sasha Sheng.
Tabular classification models predict a discrete label, or a probability distribution over labels, from rows of a table.
Tabular regression models are machine learning systems that predict a continuous numeric target from a vector of tabular features, where rows are samples and columns are heterogeneous attributes (numeric…
V-JEPA (Video Joint Embedding Predictive Architecture) is a self-supervised video model from Meta AI that learns by predicting masked regions of a video in an abstract latent representation space rather than…