Optimizing Large Language Models for Concise and Accurate Responses through Constrained Chain-of-Thought Prompting
LLMs have shown impressive abilities in handling complex question-answering tasks, supported by advancements in model architectures and training methods. Techniques like chain-of-thought (CoT) prompting have gained popularity for improving the explanation and accuracy of responses […]
