How SEAL Works: The Self-Learning Process From Static Models to Adaptive Learners Once fully trained and deployed, traditional LLMs have static “brains” that cannot permanently integrate new information. While they excel at in-context learning—temporarily using examples within a conversation—this knowledge disappears once the session ends, creating significant limitations for real-world applications where continuous learning is…