Before releasing AI answers into reality, monitor the moving phase transition boundaries. AI seems to get smarter the more inference is layered. Larger models, longer chains of thought, more ...
Large World Model (LWM) is a general-purpose large-context multimodal autoregressive model. It is trained on a large dataset of diverse long videos and books using RingAttention, and can perform ...
The paper introduces LongRoPE, a method to extend the context window of large language models (LLMs) beyond 2 million tokens. The key ideas are: Identify and exploit two forms of non-uniformities in ...