LLM Based Framework

LLM-based frameworks are emerging as powerful tools for automating various tasks, primarily focusing on code generation, validation, and data processing. Current research emphasizes improving LLM performance through techniques like pair programming architectures, multi-plan exploration, and feedback-driven refinement, often incorporating prompt engineering and domain-specific knowledge to enhance accuracy and efficiency. These frameworks hold significant potential for increasing developer productivity in software engineering and data science, as well as enabling more robust and reliable automated systems across diverse applications.