Optimizing Large Language Models for Concise and Accurate Responses through Constrained Chain-of-Thought Prompting Sana Hassan Artificial Intelligence Category – MarkTechPost
[[{“value”:” 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 by guiding the model through intermediate reasoning steps. However,… Read More »Optimizing Large Language Models for Concise and Accurate Responses through Constrained Chain-of-Thought Prompting Sana Hassan Artificial Intelligence Category – MarkTechPost