This paper introduces a benchmark for continual large-scale training of CLIP models on time-varying data without distinct task separation, addressing the challenges of training with daily-generated Petabytes of data. Accepted at NeurIPS 2023 workshop on Distribution Shifts.
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Stay ahead of the curve in today’s fast-paced world by integrating TiC-CLIP into your business. This innovative approach to Continual Training of CLIP Models is your key to remaining competitive in a landscape where data is ever-growing and constantly evolving.
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