Geminiを用いたタスクトリーのプロンプティング：方法論と知見
Prompting Task Trees using Gemini: Methodologies and Insights
Geminiを活用したプロンプトエンジニアリングにより、非構造化知識をロボットが利用可能な構造化表現に変換する手法を提案し、その知見をまとめた論文。
著者: Pallavi Tandra
分類: cs.RO, cs.AI
原文アブストラクト
Robots are the future of every technology where every advanced technology eventually will be used to make robots which are more efficient. The major challenge today is to train the robots exactly and empathetically using knowledge representation. This paper gives you insights of how we can use unstructured knowledge representation and convert them to meaningful structured representation with the help of prompt engineering which can be eventually used in the robots to make help them understand how human brain can make wonders with the minimal data or objects can providing to them.