remove "vastly"

content/20.results.md

@@ -42,7 +42,7 @@ Currently, the most powerful conversational AI platform, ChatGPT (OpenAI), is su
 To address this issue, we provide access to the different OpenAI models through their API, which is subject to different, more stringent data protection than the web interface [@{https://openai.com/policies/terms-of-use}], most importantly by disallowing reuse of user inputs for subsequent model training.
 Further, we aim to preferentially support open-source LLMs to facilitate more transparency in their application and increase data privacy by being able to run a model locally on dedicated hardware and end-user devices [@doi:10.1038/d41586-023-01295-4].
 By building on LangChain [@langchain], we support dozens of LLM providers, such as the Xorbits Inference and Hugging Face APIs [@{https://github.com/xorbitsai/inference}], which can be used to query any of the more than 100 000 open-source models on Hugging Face Hub [@{https://huggingface.co/docs/hub/index}], for instance those on its LLM leaderboard [@{https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard}].
-Although OpenAI’s models currently vastly outperform any alternatives in terms of both LLM performance and API convenience, we expect many open-source developments in this area in the future [@biollmbench].
+Although OpenAI’s models currently outperform any alternatives in terms of both LLM performance and API convenience, we expect many open-source developments in this area in the future [@biollmbench].
 Therefore, we support plug-and-play exchange of models to enhance biomedical AI readiness, and we implement a bespoke benchmarking framework for the biomedical application of LLMs.
 
 ### Prompt Engineering