OpenAI Codex

OpenAI Codex, and its successor models like o1, represent a significant advancement in large language models (LLMs) focused on enhancing reasoning capabilities beyond traditional next-word prediction. Current research emphasizes evaluating these models' performance across diverse complex tasks, including planning, code generation, and medical diagnosis, often comparing them to other LLMs and exploring limitations such as probability sensitivity and hallucination. This research is crucial for understanding the strengths and weaknesses of advanced LLMs, informing their responsible development and deployment in various applications ranging from software engineering to healthcare.