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9 Nov

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Dynamic pricing and personalized promotions

Dynamic pricing is a key differentiator in today’s fast-paced market environment. Traditional pricing strategies often rely on static models that fail to consider real-time data such as market trends, customer behavior, and inventory levels. An AI agent can offer a robust solution by rapidly analyzing extensive real-time data inputs like competitor pricing, customer purchase history, and seasonal …

6 Nov

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Multi-expert Prompting Improves Reliability, Safety and Usefulness of Large Language Models

Large language models (LLMs) have made significant strides in acquiring extensive knowledge and demonstrating exceptional problem-solving abilities. However, ensuring these systems align with human intentions by improving their reliability, safety, and usefulness remains crucial. Multi-expert Prompting, a novel enhancement of ExpertPrompting, addresses this need by guiding an LLM to fulfill an inp…

31 Oct

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GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models

Large Language Models (LLMs) have made significant strides in natural language processing, question answering, and creative tasks. However, their capabilities in formal reasoning, particularly in mathematics, remain uncertain. Recent studies have highlighted impressive results on the GSM8K benchmark, but a closer examination reveals substantial limitations, raising questions about the reliability …

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