نسخة أولية وصول مفتوح
MILO: Efficient Many-shot In-Context Learning with Block-wise Low-rank Compression
Many-shot in-context learning (ICL) enables large language models (LLMs) to adapt to complex tasks by conditioning on thousands of demonstration examples, but this paradigm shifts the inference efficiency bottleneck to the key-value (KV) cache memory. Due to the linear scaling behavior of the KV cache, storing these in …