Multi-hop reasoning

Multi-hop reasoning is the process of combining multiple pieces of information to answer a question. This is a key challenge in natural language processing, as it requires a model to be able to understand the relationships between different pieces of information.

Multi-hop reasoning is a key component of any successful AI strategy, as it can help to solve a wide range of problems.