Explain

explain is a CLI utility that leverages Large Language Models (LLM) and vector database to provide comprehensive yet accessible explanations for research papers. It tries to simplifie academic comprehension, transforming complex concepts into easy-to-understand language, making scientific research accessible to a broad audience.

Please note that explain is an early-stage and experimental utility. While it aims to simplify complex academic concepts, the accuracy and depth of explanations may vary due to its developmental stage and the inherent limitations of AI technology.

Setup

• setup conda environment:

  conda create -n explain python=3.10 -y
  conda activate explain
  conda install -y cudatoolkit
  pip install -e .

• when developing, setup git hooks:

  pre-commit install

Usage

Usage: explain [OPTIONS] URL

  Explain Arxiv paper with Large Langage Model.

Options:
  -p, --prompt TEXT               Optional prompt to guide the explanation.
  -u, --understanding [BASIC|INTERMEDIATE|ADVANCED]
                                  Level of understanding desired
  --chatbot-model-name TEXT       Model name for the chatbot.
  --embeddings-model-name TEXT    Model name for generating embeddings.
  -v, --verbose                   Enable verbose output.
  --help                          Show this message and exit.

Example

explain https://arxiv.org/abs/2112.14777

Ionization of Gravitational Atoms by Daniel Baumann et al., published in  arXiv preprint server
on June 6th, 2022, provides a comprehensive overview  of how electromagnetic radiation could
potentially affect the dynamics of compact objects such as neutron stars and black holes through
interactions with surrounding matter. Specifically, it discusses the possibility of creating
"gravitational atoms" - dense regions of charged particles near the event horizon of a black hole
 - which would emit detectable signals via processes involving light and other forms of
electromagnetic radiation.

The key objective of the research described in the paper is to understand better the physical
mechanisms behind the creation of gravitational atoms and how they might influence the motion
of matter close to the event horizon of a black hole. By combining theoretical modeling with
numerical simulations, researchers hope to gain insight into the nature of spacetime near
extreme conditions and test various predictions made by general relativity. Additionally, the
discovery of gravitational atoms has important practical applications related to detecting
gravitational waves generated during the merger of two black holes or neutron star collisions.
Therefore, studying the properties of gravitational atoms offers significant potential benefits
beyond pure academic curiosity alone.