Results 241 to 250 of about 31,255,758 (309)

Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Neural Information Processing Systems, 2023
While large-scale unsupervised language models (LMs) learn broad world knowledge and some reasoning skills, achieving precise control of their behavior is difficult due to the completely unsupervised nature of their training. Existing methods for gaining
Rafael Rafailov, Archit Sharma, E. Mitchell, Stefano Ermon, Christopher D. Manning, Chelsea Finn   +5 more
semanticscholar   +1 more source

Flamingo: a Visual Language Model for Few-Shot Learning

Neural Information Processing Systems, 2022
Building models that can be rapidly adapted to novel tasks using only a handful of annotated examples is an open challenge for multimodal machine learning research. We introduce Flamingo, a family of Visual Language Models (VLM) with this ability.
Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, Antoine Miech, Iain Barr, Yana Hasson, Karel Lenc, Arthur Mensch, Katie Millican, Malcolm Reynolds, Roman Ring, Eliza Rutherford, Serkan Cabi, Tengda Han, Zhitao Gong, Sina Samangooei, Marianne Monteiro, Jacob Menick, Sebastian Borgeaud, Andy Brock, Aida Nematzadeh, Sahand Sharifzadeh, Mikolaj Binkowski, Ricardo Barreira, O. Vinyals, Andrew Zisserman, K. Simonyan   +26 more
semanticscholar   +1 more source

Model Checking

Handbook of Finite State Based Models and Applications, 2018
ion ● Approximation ○ M’ approximates M ○ Use M’ to deduce properties of ...
D. Peled, Patrizio Pelliccione, Paola Spoletini   +2 more
semanticscholar   +1 more source

Stability and Complexity in Model Ecosystems

, 2019
What makes populations stabilize? What makes them fluctuate? Are populations in complex ecosystems more stable than populations in simple ecosystems? In , Robert May addressed these questions in this monograph that has since become a classic. Trained
R. May
semanticscholar   +1 more source