Large Language Models (LLMs) have shown significant potential in reasoning tasks, using methods like Chain-of-Thought (CoT) to break down complex problems into manageable steps. However, this capability comes with challenges. CoT prompts often increase token usage, leading to higher computational costs and energy consumption. This inefficiency is a concern for applications that require both precision […]
The post This AI Paper Proposes TALE: An AI Framework that Reduces Token Redundancy in Chain-of-Thought (CoT) Reasoning by Incorporating Token Budget Awareness appeared first on MarkTechPost.