Giving an LLM access to an external tool is a reliable way to solve some of the limitations that these models face. However, LLMs will not know how to use tools naturally, which raises the question: How do we teach our model to leverage external tools (View Highlight)
Teaching an LLM to leverage tools is no different than learning how to solve any other task with an LLM. (View Highlight)
pre-training. The first and most basic form of learning for LLMs is pre-training. During pre-training, the model is trained over a large corpus of unlabeled textual data using a language modeling objective (View Highlight)
