From 508d54c744aaf55df5813df6cfcd00196c0d0119 Mon Sep 17 00:00:00 2001 From: let20 Date: Mon, 19 Feb 2024 17:52:50 -0500 Subject: [PATCH] shorten sentences --- content/01.abstract.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/content/01.abstract.md b/content/01.abstract.md index 3091ade..dbbf530 100644 --- a/content/01.abstract.md +++ b/content/01.abstract.md @@ -1,7 +1,7 @@ ## Abstract -Current-generation Large Language Models (LLMs) have stirred enormous interest in recent months, yielding great potential for accessibility and automation, while simultaneously posing significant challenges and risk of misuse. -To facilitate interfacing with LLMs in the biomedical space, while at the same time safeguarding their functionalities through sensible constraints, we propose a dedicated, open-source framework: BioChatter. -Based on open-source software packages, we synergise the many functionalities that are currently developing around LLMs, such as knowledge integration / retrieval-augmented generation, model chaining, and benchmarking, resulting in an easy-to-use and inclusive framework for application in many use cases of biomedicine. -We focus on robust and user-friendly implementation, including ways to deploy privacy-preserving local open-source LLMs. -We demonstrate use cases via two multi-purpose web apps ([https://chat.biocypher.org](https://chat.biocypher.org)), and provide documentation, support, and an open community. +Current-generation Large Language Models (LLMs) have stirred enormous interest in recent months thanks to their great potential for accessibility and automation, but they also present significant challenges and risks of misuse. +In response to these issues within the biomedical space, we propose BioChatter, an open-source framework designed to facilitate safe interaction with LLMs while maintaining sensible constraints on their use. +BioChatter synergises the many functionalities from open-source software packages currently developed around LLMs including knowledge integration / retrieval-augmented generation, model chaining, and benchmarking. +Focusing on robustness and user-friendliness, BioChatter's implementation results in an easy-to-use and inclusive framework for application in many use cases of biomedicine, with methods to deploy privacy-preserving local LLMs. +We showcase its utility via two multi-purpose web apps ([https://chat.biocypher.org](https://chat.biocypher.org)) and provide comprehensive documentation, support, and a welcoming open community.