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Improve intro based on more up-to-date main/docs/index.md #194

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8 changes: 3 additions & 5 deletions README.md
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## Introduction

OntoGPT is a Python package for the generation of Ontologies and Knowledge Bases using large language models (LLMs).

OntoGPT makes use of so-called *instruction prompts* in LLMs such as GPT-4.
OntoGPT is a Python package for generating ontologies and knowledge bases using large language models (LLMs). It makes use of so-called *instruction prompts* in LLMs such as GPT-4.

Two different strategies for knowledge extraction are currently implemented in OntoGPT:

Expand All @@ -16,10 +14,10 @@ Two different strategies for knowledge extraction are currently implemented in O
* This approach takes two inputs - 1) LinkML schema 2) free text, and outputs knowledge in a structure conformant with the supplied schema in JSON, YAML, RDF or OWL formats
* Uses GPT-3.5-turbo, GPT-4, or one of a variety of open LLMs on your local machine
* SPINDOCTOR: *Structured Prompt Interpolation of Narrative Descriptions Or Controlled Terms for Ontological Reporting*
* Summarize gene set descriptions (pseudo gene-set enrichment)
* Summarizes gene set descriptions (pseudo gene-set enrichment)
* Uses GPT-3.5-turbo or GPT-4

## Pre-requisites
## Prerequisites for running OntoGPT

* Python 3.9+

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