Sourav Das

Fine-tuning LLMs with a carbon-aware objective can yield task accuracy improvements while minimizing carbon emissions, but the effectiveness varies by task structure.

Achieving up to 10x parameter reduction in small language models without sacrificing performance could redefine efficiency benchmarks in model deployment.