Yash Chauhan

Recursive Self-Improving LLM Agents with Meta-Cognitive Feedback Loops

Even though AI is getting better quickly, Large Language Models (LLMs) are still very good at multi-step reasoning and structured problem solving. However, their performance during inference often relies heavily on initial prompts and set strategies. When outputs are not ideal, fixing them usually requires outside help...