Pioneering exploration in patent landscape studies: leveraging large language models and in-context learning for deeper insights

Key Points

• Deeper insights emerged from patent landscape analysis using large language models, facilitating unique perspectives.
• Key findings indicate an improvement in data interpretation accuracy, emphasizing the potential of AI algorithms for analysis.
• Exploration utilized advanced techniques like in-context learning to extract meaningful patterns from patent data.
• This study highlights the importance of integrating AI methods for enhanced patent landscape understanding and research.