| |
| import streamlit as st |
|
|
|
|
| def faq(): |
| st.markdown( |
| """ |
| # FAQ |
| ## How does ArxivGPT works work? |
| When you load do it will be divided into smaller chunks |
| and stored in a special type of database called a vector index |
| that allows for semantic search and retrieval. |
| |
| When you ask a question, ArxivGPT will search through the |
| pdf chunks and find the most relevant ones using the vector index. |
| Then, it will use the powerful language model GPT4 to generate a final answer. |
| |
| ## Why does ArxivGPT take time to index my document? |
| The reason is the following one. In the case of a free OpenAI API key |
| takes time to index the loaded pdf files since a free API key has a |
| restricted [rate limits](https://platform.openai.com/docs/guides/rate-limits/overview). |
| To make the process fast, you can use a paid API key. |
| |
| |
| ## How accurate is ArxivGPT? |
| To our experience and our tests, it seems impressive accurate but keep in mind the |
| following since GPT-4 is language model is keen to mistakes. It is |
| based on semantic search and extracts the most relevant chuncks from the pdf |
| files. |
| """ |
| ) |
|
|
