Enhancing Safety in Pre-Processing for Large Language Models (LLMs)
Pre-processing plays a crucial role in the way Large Language Models (LLMs) understand and respond to prompts. It involves the steps taken before a prompt is fully processed by the model, ranging from simple actions like tokenization to more complex safety checks. As we explore this topic, it becomes evident