|
--- |
|
pipeline_tag: text2text-generation |
|
widget: |
|
- text: >- |
|
Please answer to the following question. Who is going to be the next Ballon |
|
d'or? |
|
example_title: Question Answering |
|
- text: >- |
|
Can Geoffrey Hinton have a conversation with George Washington? Give the |
|
rationale before answering. |
|
example_title: Logical reasoning |
|
- text: 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: >- |
|
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 |
|
datasets: |
|
- lambada |
|
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) |