Summary

The use of a "teacher" Large Language Model (LLM) to train smaller AI systems has sparked debate among experts. On one hand, this approach can significantly reduce the computational resources required for training, making it more scalable and efficient.However, this method also raises significant concerns about control and bias.

The "teacher" LLM may perpetuate existing biases or incorporate new ones, which can then be transferred to the smaller AI systems. This highlights the need for careful evaluation and monitoring of the trained models to prevent potential harm.As with any AI development technique, it is essential to prioritize responsibility and transparency.

Clear guidelines and regulations should be put in place to ensure that these trained AI systems are used for the intended purpose and do not cause harm to individuals or society as a whole.