Scientists Just Found a Way to Skip AI Training Entirely. Here's How
SMRTR summary
Many-shot in-context learning (ICL) improves performance of multimodal foundation models across 10 datasets. Batching queries reduces latency and costs without compromising results. This approach enables quick adaptation to new tasks, potentially eliminating the need for fine-tuning in some cases. The study suggests ICL could make large models more accessible and adaptable for practical applications.
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