MIT CSAIL researchers introduced 'weight-space programming,' a technique enabling LLMs to interpret and directly edit neural network weights without conventional gradient-based training procedures

Large language models (LLMs) are advanced AI systems trained on massive text datasets to understand, generate, and reason about human language, powering applications such as chatbots, code generation, summarization, and scientific discovery.