From d09aa6d0023e7ee48355c05a7260d3f65e36ef9e Mon Sep 17 00:00:00 2001 From: slobentanzer Date: Sat, 17 Feb 2024 07:34:36 +0100 Subject: [PATCH] simplify sentence --- content/30.discussion.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/30.discussion.md b/content/30.discussion.md index b883406..f5fb382 100644 --- a/content/30.discussion.md +++ b/content/30.discussion.md @@ -4,7 +4,7 @@ The fast pace of developments around current-generation LLMs poses a great chall While the potential of these models is enormous, their application is not straightforward, and their use requires a certain level of expertise [@doi:10.1038/s41587-023-02103-0]. In addition, biomedical research is often performed in a siloed way due to the complexity of the domain and systemic incentives that work against open science and collaboration [@doi:10.1177/1745691612459058;@doi:10.1038/d41586-024-00322-2]. Inspired by the productivity of open source libraries such as LangChain [@langchain], we propose an open framework that allows biomedical researchers to focus on the application of LLMs as opposed to engineering challenges. -To keep the framework effective and sustainable, we focus on reusing existing open-source libraries and tools, while adapting the advancements from the wider LLM community to the biomedical domain. +To keep the framework effective and sustainable, we reuse existing open-source libraries and tools while adapting the advancements from the wider LLM community to the biomedical domain. The transparency we emphasise at every step of the framework is essential to a sustainable application of LLMs in biomedical research and beyond [@doi:10.1038/d41586-024-00029-4]. To facilitate efficient human-AI interaction, a "lingua franca" is required; symbolic representations of concepts are required at least at the surface level of the conversation [@doi:10.1609/aaai.v36i11.21488].