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chain-of-thought prompting

Prompt engineering techniques for effective AI outputs

Remember when prompt engineering meant just asking ChatGPT to write your blog posts or answer a basic question? Those days are long gone. We're seeing companies hire dedicated prompt engineers now - it's become a real skill in getting large language models (LLMs) to do exactly what you need them

Chain-of-Thought (CoT) Capabilities in O1-mini and O1-preview

Chain-of-Thought (CoT) Capabilities in O1-mini and O1-preview

Explore O1 Mini & O1 Preview models with Chain-of-Thought (CoT) reasoning, balancing cost-efficiency and deep problem-solving for complex tasks.

HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in HuggingFace - Summary

The paper proposes HuggingGPT, a system that uses large language models (LLMs) like ChatGPT to connect various AI models in machine learning communities like HuggingFace to solve complicated AI tasks. The system leverages the strong language capability of ChatGPT and abundant AI models in HuggingFa

Self-Consistency Improves Chain of Thought Reasoning in Language Models - Summary

Self-Consistency Improves Chain of Thought Reasoning in Language Models - Summary

The paper proposes a new decoding strategy called self-consistency to improve the performance of chain-of-thought prompting in language models for complex reasoning tasks. Self-consistency first samples a diverse set of reasoning paths and then selects the most consistent answer by marginalizing ou

chain-of-thought-prompting vs standard prompting

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models - Summary

The paper explores how generating a chain of thought can improve the ability of large language models to perform complex reasoning. The authors introduce a simple method called chain-of-thought prompting, where a few chain of thought demonstrations are provided as exemplars in prompting. Experiment