Update README.md

README.md

@@ -1,47 +1,70 @@
-# Cloud Agents for Distributed Model Training
-
-A lightweight and horizontally scalable distributed computing system for training large language models, specifically designed for OpenPeerLLM.
-
-## Features
-
-- Distributed tensor operations for model training
-- CouchDB-based coordination layer
-- Automatic agent discovery and load balancing
-- Horizontal scaling capabilities
-- Fault tolerance and recovery
-- Integration with OpenPeerAI's OpenPeerLLM
-
-## Installation
-
-```bash
-pip install -r requirements.txt
-```
-
-## Configuration
-
-1. Set up CouchDB instance
-2. Copy `.env.example` to `.env` and configure your settings
-3. Start the coordinator node
-4. Launch agent nodes
-
-## Quick Start
-
-```bash
-# Start coordinator
-python -m cloud_agents.coordinator
-
-# Start agent (on each machine)
-python -m cloud_agents.agent
-```
-
-## Architecture
-
-- `coordinator`: Manages job distribution and agent coordination
-- `agent`: Handles tensor operations and model training
-- `couchdb_client`: Interface for CouchDB communication
-- `tensor_ops`: Distributed tensor operations
-- `utils`: Helper functions and utilities
-
-## License
-
+---
+license: mit
+datasets:
+- fka/awesome-chatgpt-prompts
+language:
+- en
+metrics:
+- accuracy
+- code_eval
+base_model:
+- OpenPeerAI/OpenPeerLLM
+tags:
+- agent
+- cloud
+- computing
+- distributed
+- distributed-learning
+- decentralized
+- grid
+- grid-computing
+- machine-learning
+- ml
+---
+# Cloud Agents for Distributed Model Training
+
+A lightweight and horizontally scalable distributed computing system for training large language models, specifically designed for OpenPeerLLM.
+
+## Features
+
+- Distributed tensor operations for model training
+- CouchDB-based coordination layer
+- Automatic agent discovery and load balancing
+- Horizontal scaling capabilities
+- Fault tolerance and recovery
+- Integration with OpenPeerAI's OpenPeerLLM
+
+## Installation
+
+```bash
+pip install -r requirements.txt
+```
+
+## Configuration
+
+1. Set up CouchDB instance
+2. Copy `.env.example` to `.env` and configure your settings
+3. Start the coordinator node
+4. Launch agent nodes
+
+## Quick Start
+
+```bash
+# Start coordinator
+python -m cloud_agents.coordinator
+
+# Start agent (on each machine)
+python -m cloud_agents.agent
+```
+
+## Architecture
+
+- `coordinator`: Manages job distribution and agent coordination
+- `agent`: Handles tensor operations and model training
+- `couchdb_client`: Interface for CouchDB communication
+- `tensor_ops`: Distributed tensor operations
+- `utils`: Helper functions and utilities
+
+## License
+
 MIT