Does it decide based on data if it should make its own ML model or fine-tune a relevant one?
Also, does it detect issues with the training data? When I was doing NLP ML models before LLMs, the tasks that took all my time were related to data cleaning, not the training or choosing the right approach.
Does it decide based on data if it should make its own ML model or fine-tune a relevant one?
Also, does it detect issues with the training data? When I was doing NLP ML models before LLMs, the tasks that took all my time were related to data cleaning, not the training or choosing the right approach.