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