📂
DOCS
📂
SRC
Load_Data.py
run_experiments.py
utils.py
config.json
Synapse Labs: Advanced AI Research
& Development
This framework enables autonomous research experiments using large
language models as intelligent agents. The system supports multiple
concurrent agents working together to solve complex research problems.
PYTHON:
def run_experiment(model, dataset): results
[l for agent in agents:
agent . initialize(model) result = agent. analyze(dataset)
results. append( result) return aggregate _ results( results)
Key Features
• Multi-agent coordination
• Automated experiment pipeline
• Real-time result analysis
• Extensible agent framework
SYSTEM STATUS
AGENTS: 4 Active
RAM: 31.6 GB - 98.1 GB
GPU: 61.2 % Usage
CURRENT EXPERIMENT
MODEL: Qwen 2.5
DATASET: QA Benchmark