Trained Miniatures: Low cost, High Efficacy SLMs for Sales & Marketing
Ishaan Bhola, Mukunda NS, Sravanth Kurmala, Harsh Nandwani, Arihant Jain

TL;DR
This paper proposes 'Trained Miniatures', small language models fine-tuned for specific sales and marketing tasks, offering high efficacy at significantly reduced computational and financial costs.
Contribution
It introduces a novel approach of fine-tuning small language models for targeted applications, reducing costs while maintaining effectiveness.
Findings
SLMs can match larger models in domain-specific tasks
Cost reduction by orders of magnitude
Effective for sales and marketing outreach
Abstract
Large language models (LLMs) excel in text generation; however, these creative elements require heavy computation and are accompanied by a steep cost. Especially for targeted applications such as sales and marketing outreach, these costs are far from feasible. This paper introduces the concept of "Trained Miniatures" - Small Language Models(SLMs) fine-tuned for specific, high-value applications, generating similar domain-specific responses for a fraction of the cost.
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Taxonomy
TopicsTopic Modeling · Computational and Text Analysis Methods · Sentiment Analysis and Opinion Mining
