MUSCLE: A Model Update Strategy for Compatible LLM Evolution
Large Language Models (LLMs) are frequently updated due to data or architecture changes
to improve their performance. When updating models, developers often focus on increasing …
to improve their performance. When updating models, developers often focus on increasing …
Asymmetric image retrieval with cross model compatible ensembles
The asymmetrical retrieval setting is a well suited solution for resource constrained
applications such as face recognition and image retrieval. In this setting, a large model is …
applications such as face recognition and image retrieval. In this setting, a large model is …
Asymmetric Image Retrieval with Cross Model Compatible Ensembles
The asymmetrical retrieval setting is a well suited solution for resource constrained
applications such as face recognition and image retrieval. In this setting, a large model is …
applications such as face recognition and image retrieval. In this setting, a large model is …