---
pipeline_tag: text2text-generation
widget:
- text: "Translate to German:  My name is Arthur"
  example_title: "Translation"
- text: "Please answer to the following question. Who is going to be the next Ballon d'or?"
  example_title: "Question Answering"
- text: "Q: Can Geoffrey Hinton have a conversation with George Washington? Give the rationale before answering."
  example_title: "Logical reasoning"
- text: "Please answer the following question. What is the boiling point of Nitrogen?"
  example_title: "Scientific knowledge"
- text: "Answer the following yes/no question. Can you write a whole Haiku in a single tweet?"
  example_title: "Yes/no question"
- text: "Answer the following yes/no question by reasoning step-by-step. Can you write a whole Haiku in a single tweet?"
  example_title: "Reasoning task"
- text: "Q: ( False or not False or False ) is? A: Let's think step by step"
  example_title: "Boolean Expressions"
- text: "The square root of x is the cube root of y. What is y to the power of 2, if x = 4?"
  example_title: "Math reasoning"
- text: "Premise:  At my age you will probably have learnt one lesson. Hypothesis:  It's not certain how many lessons you'll learn by your thirties. Does the premise entail the hypothesis?"
  example_title: "Premise and hypothesis"
- text: "Hey my name is Thomas! How are you?"
  example_title: "Chatting"
metrics:
- accuracy
- f1
---

# Aeona

<!-- Provide a quick summary of what the model is/does. -->


# Model Details

An generative AI based on [Google Flan Base](https://huggingface.co/google/flan-t5-base).

Recommended to use along with an [AIML Chatbot](https://github.com/deepsarda/Aeona-Aiml) to reduce load, get better replies, add name and personality to your bot.
Using an AIML Chatbot will allow you to hardcode some replies also.

## Model Description

eona is an chatbot which hope's to be able to talk with humans as if its an friend!
It's main target platform is discord. 
You can invite the bot [here](https://aeona.xyz).

To learn more about this project and chat with the ai, you can use this [website](https://aeona.xyx/).

Aeona works by sending a query to the AIML Chatbot if the AIML chabot is unable to answer then it comes over here to ***apply some real brains*** so to speak.
The main reason for using google flan is its great performance at logical reasoning.
# Participate and Help the AI improve or just hang out at [hugging face discussions](https://huggingface.co/deepparag/Aeona/discussions)

## Goals
 The goal is to create an AI which will work with AIML in order to create the most human like AI.
 
 #### Why not an AI on its own?
 For AI it is not possible (realistically) to learn about the user and store data on them, when compared to an AIML which can even execute code!
 The goal of the AI is to generate responses where the AIML fails.
 
 Hence the goals becomes to make an AI which has a wide variety of knowledge, yet be as small as possible!
 So we use 3 dataset:-
 1. [Movielines](https://www.kaggle.com/Cornell-University/movie-dialog-corpus) The movie lines promote longer and more thought out responses but it can be very random. About 200k lines!
 2. [Discord Messages](https://www.kaggle.com/jef1056/discord-data) The messages are on a wide variety of topics filtered and removed spam which makes the AI highly random but gives it a very random response to every days questions! about 120 million messages!
 3. Custom dataset scrapped from my messages, These messages are very narrow teaching this dataset and sending a random reply will make the AI say sorry loads of time!
    
## Training
 The Discord Messages Dataset simply dwarfs the other datasets, Hence the data sets are repeated.
 This leads to them covering each others issues!
  
 The AI has a context of 6 messages which means it will reply until the 4th message from user.
 [Example](https://huggingface.co/deepparag/Aeona-Beta/discussions/1)