Modern large language models (LLMs) might write beautiful sonnets and elegant code, but they lack even a rudimentary ability to learn from experience.Researchers at Massachusetts Institute of Technology (MIT) have now devised a way for LLMs to keep improving by tweaking their own parameters in response to useful new information.The work is a step toward building artificial intelligence models that learn continually—a long-standing goal of the field and something that will be crucial if machines ...