New tool capable of comparing SLMs and LLMs finds smaller models can reduce cost

Architecture Overview of the SLaM Tool. Credit: arXiv (2023). DOI: 10.48550/arxiv.2312.14972

Open-source small language models (SLMs) can provide conversational responses that are similar to resource-intensive, proprietary large language models (LLMs) such as OpenAI’s ChatGPT, but at a lower cost, researchers at the University of Michigan have found. Their findings are published on the arXiv preprint server.

The team developed a first-of-its-kind tool capable of evaluating SLMs and comparing them to proprietary LLM Application Programming Interfaces, including performance and cost. They recently presented their results at the 2024 IEEE International Symposium on Performance Analysis of Systems and Software.
LLMs’ demonstrated ability to comprehend …
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