An E2E Framework to Improve Agentic AI Using GRPO Reasoning and Continuous Memory Based Learning
This work proposes a reinforcement learning-based framework for fine-tuning and optimizing Small Language Models (SLMs) used in Agentic AI systems, with a focus on improving tool invocation and decision-making over complex, multi-step tasks. The framework targets both open-source and proprietary language models operati...