This AI Model Never Stops Learning
SMRTR summary
MIT researchers have developed SEAL (Self Adapting Language Models), allowing large language models to improve by updating their own parameters based on new information. This breakthrough enables AI to learn continuously, potentially leading to chatbots and AI tools that better incorporate user preferences and interests. SEAL generates synthetic training data from input, updates itself, and uses reinforcement learning to guide improvements.
SMRTR provides this summary for quick context. The original article belongs to Wired.
Read the original article