#generalization

#generalization

Policy generalization is essential for reinforcement learning agents to deal with unseen data effectively.

Generalists thrive creatively by leveraging diverse experiences rather than honing in on a single specialty.

Broad reading across varied genres enhances creative thinking and problem-solving.

LLaVA-Phi shows enhanced generalization abilities in humor interpretation, code generation, and math problem-solving compared to earlier models like LLaVA-1.5-13B.