That’s a very exotic take. Language (semantic embeddings) is a good mediator for a lot of tasks, which makes it easier for ML models to generalize. The intersection of old school ML and LLMs is a fascinating place, I’ve never seen it dismissed like that. Do you have any reading you’d recommend on the subject?
You don’t need an LLM to interact with machine learning algorithms.
In fact, one might argue one should not use an LLM to interact with machine learning algorithms. 😆
That’s a very exotic take. Language (semantic embeddings) is a good mediator for a lot of tasks, which makes it easier for ML models to generalize. The intersection of old school ML and LLMs is a fascinating place, I’ve never seen it dismissed like that. Do you have any reading you’d recommend on the subject?