real-world deployment
The process of taking an AI model from the research or experimental stage and integrating it into actual production environments, where it can perform tasks and provide value to users.
- Crucible: Quantifying the Potential of Control Algorithms through LLM Agents
- DictPFL: Efficient and Private Federated Learning on Encrypted Gradients
- E2E-VGuard: Adversarial Prevention for Production LLM-based End-To-End Speech Synthesis
- Feature-aware Modulation for Learning from Temporal Tabular Data
- Mind the Gap: Removing the Discretization Gap in Differentiable Logic Gate Networks
- REP: Resource-Efficient Prompting for Rehearsal-Free Continual Learning
- Resource-Constrained Federated Continual Learning: What Does Matter?
- RobotSmith: Generative Robotic Tool Design for Acquisition of Complex Manipulation Skills
- Web-Shepherd: Advancing PRMs for Reinforcing Web Agents