🗳️Feature store

The Feature Store in gm.ai serves as a core repository for machine-learning data. It enables the processing and management of feature data essential for training and inference tasks.

Features of the Feature Store:

• Data Pipelines: Run pipelines to transform raw data into feature values.

• Data Storage: Store and manage feature data efficiently.

• Data Serving: Serve feature data consistently for training and inference purposes.

Data Sources in gm.ai

gm.ai processes data from both on-chain and off-chain sources, providing a comprehensive view of the ecosystem. These sources include:

On-chain Data:

• ChainScans

• Analytics

• DeFi

• General

Off-chain Data:

• Social Sentiment

• Website Analytics

Use case

gmAI has the potential to provide in-depth explanations of Solana meme coins, leveraging its capability to aggregate and analyze data from diverse sources:

• On-chain transactions

• Twitter posts

• Images

• Discussions within Telegram chats

gmAI aims to be *the* AI for Solana.