> For the complete documentation index, see [llms.txt](https://ai-society-2.gitbook.io/ai.society/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://ai-society-2.gitbook.io/ai.society/introduction/roadmap.md).

# Roadmap

2022Y Q3

•  Build a data ingestion and preprocessing pipeline

•  Design and develop the initial model architecture

<br>

2022 Q4:

•  Develop the main algorithm&#x20;

•  Train and evaluate the initial model performance

•  Configure the metaverse initial infrastructure

<br>

2023 Q1:

•  Enhance the model's sentence-generation ability

•  Optimize the deep learning model

•  Design and plan the metaverse environment

•  Develop the metaverse interface

<br>

2023 Q2 :

•  Develop interaction functions between users

•  Integrate the AI.S system in the metaverse

•  Seed & Private Rounds

<br>

2023 Q3 :&#x20;

•  Improve the model's accuracy and efficiency

•  Implement a social login system in the metaverse

•  Develop AI.S node system

•  IDO & IEO

•  Prepare for exchange listing

•  AI.S Node Sales & Deployment Phase 1

<br>

2023 Q4 :&#x20;

•  Build scalability and large-scale deployment

•  Enhance the security and data privacy

•  Develop a social login and membership system

<br>

2024 Q1 :

•  Retrain and fine-tune the model using datasets

•  Implement an NPC generation system

<br>

2024 Q2 :&#x20;

•  Further model accuracy and efficiency enhancement

•  Implement custom NPC features
