Mathematically speaking LLMs have very precise formulation and can be seen as F(context, X0, X1, ..., XP) = next_token. What science behind the LLMs is still la

Mathematically speaking LLMs have very precise formulation and can be seen as F(context, X0, X1, ..., XP) = next_token. What science behind the LLMs is still lacking is how all these parameters are correlated one to each other and why one set of values is giving a better prediction than the other set of values. Right now, we arrive to these values through experimental approach, that is, through trainings.