From 73dc99ddae31b02a1023221b650a7870ede7aede Mon Sep 17 00:00:00 2001 From: slobentanzer <sebastian.lobentanzer@gmail.com> Date: Thu, 15 Feb 2024 11:32:44 +0100 Subject: [PATCH] sentence flow --- content/10.introduction.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/10.introduction.md b/content/10.introduction.md index e67364a..5df6da2 100644 --- a/content/10.introduction.md +++ b/content/10.introduction.md @@ -21,7 +21,7 @@ Since the interaction is mainly based on plain text (in any language), it can be <!-- Figure 1 --> ![ **The BioChatter composable platform architecture (simplified).** -LLMs can facilitate many tasks in daily biomedical research practice, for instance, interpretation of experimental results or the use of a web resource (top left). +LLMs can facilitate many tasks in daily biomedical research practice, for instance interpretation of experimental results or the use of a web resource (top left). BioChatter’s main response circuit (blue) composes a number of specifically engineered prompts and passes them (and a conversation history) to the primary LLM, which generates a response for the user based on all inputs. This response is simultaneously used to prompt the secondary circuit (orange), which fulfils auxiliary tasks to complement the primary response. In particular, using search, the secondary circuit queries a database as a prior knowledge repository and compares annotations to the primary response, or uses the knowledge to perform Retrieval-Augmented Generation (RAG).