Towards Scalable Customization and Deployment of Multi-Agent Systems for Enterprise Applications

In three linesFramework for customization and efficient deployment of LLM-based multi-agent systems in enterprise settings. Combines continual pretraining, supervised fine-tuning, and preference optimization to adapt compact models to specialized domains. Integrates speculative decoding and FP8 quantization to reduce latency and costs. Achieves 4.48x throughput speedup while maintaining performance.

Summary generated by Claude — human-verified