Inference-Time Agent
An inference-time agent project for FSE476 Final Project, exploring agent-based systems and runtime decision making.
Python
LangChain
OpenAI
AI Agents
Agentic AI
Machine Learning
Research
Multi-Agent Systems
An inference-time agent project developed for FSE476 Final Project. This research project explores agent-based systems, runtime decision-making, and intelligent inference mechanisms. The project demonstrates advanced AI concepts and practical implementation of agent architectures.
#Key Features
Agent Architecture
- Inference-time decision making
- Runtime adaptation and learning
- Multi-agent coordination
- Dynamic task routing
Research Components
- Agent behavior analysis
- Performance evaluation metrics
- Comparative studies with baseline methods
- Experimental validation
#Technical Highlights
Built with Python using LangChain framework for agent orchestration and OpenAI APIs for LLM integration. Implements advanced agentic AI patterns with inference-time optimization strategies. Features comprehensive research methodology including experimental design, data collection, and result analysis.