Then, for each incorrectly answered question, we instructed eight types of self-reflecting LLM agents to reflect on their mistakes and provide themselves with guidance to improve problem-solving. Then ...

An open-ended mathematical modeling problem, where given an abstract application scenario or phenomenon, the agent first needs to formulate the mathematical problem before solving it and providing an ...

In recent years, Large Language Models (LLMs) have shown great abilities in various tasks, including question answering, arithmetic problem solving, and poetry writing, among others. Although research ...

The rapid advancement of large language models has opened new avenues for automating complex problem-solving tasks such as algorithmic coding and competitive programming. This paper introduces a novel ...

As businesses increasingly rely on AI-driven strategies, multi-agent frameworks offer a scalable and efficient solution for complex problem-solving. The Power of Specialized AI Agents A multi-agent ...

With Open Source Guardrails, AI Applications Can Be Trusted to Work on Their OwnSAN FRANCISCO, Feb. 15, 2024 (GLOBE NEWSWIRE) -- Today Guardrails AI, the open and trusted AI assurance company ...

Discover the next evolution in AI reasoning as Alibaba's large language model Marco-o1 combines Chain-of-Thought learning with Monte Carlo Tree Search.

LLM-as-a-Judge — AI as an evaluator: An innovative approach in the evaluation of large language models is to use the models themselves as their own “judges”.