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Cohere discusses how small language models (SLMs) can offer enterprises cost savings, reduced computational overhead, and task-specific efficiency, citing its own models Command R7B, Tiny Aya, and North Mini Code as examples that outperform larger models on certain benchmarks.
From the source
Many organizations are discovering that smaller, purpose-built models can provide significant advantages — including reduced computational overhead, less data for training or fine-tuning, lower energy consumption, and more cost-effective solutions.
cohere.com