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pipeline_tag: text2text-generation
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---
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pipeline_tag: text2text-generation
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---
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# Aeona
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<!-- Provide a quick summary of what the model is/does. -->
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# Model Details
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An generative AI based on [google flan base](https://huggingface.co/google/flan-t5-base).
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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.
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Using an AIML Chatbot will allow you to hardcode some replies also.
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## Model Description
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eona is an chatbot which hope's to be able to talk with humans as if its an friend!
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It's main target platform is discord.
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You can invite the bot [here](https://aeona.xyz).
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To learn more about this project and chat with the ai, you can use this [website](https://aeona.xyx/).
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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.
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The main reason for using google flan is its great performance at logical reasoning.
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# Participate and Help the AI improve or just hang out at [hugging face discussions](https://huggingface.co/deepparag/Aeona/discussions)
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## Goals
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The goal is to create an AI which will work with AIML in order to create the most human like AI.
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#### Why not an AI on its own?
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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!
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The goal of the AI is to generate responses where the AIML fails.
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Hence the goals becomes to make an AI which has a wide variety of knowledge, yet be as small as possible!
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So we use 3 dataset:-
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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!
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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!
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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!
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## Training
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The Discord Messages Dataset simply dwarfs the other datasets, Hence the data sets are repeated.
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This leads to them covering each others issues!
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The AI has a context of 6 messages which means it will reply until the 4th message from user.
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[Example](https://huggingface.co/deepparag/Aeona-Beta/discussions/1)
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