Researchers at Cornell University have developed a new technique called quantization with incoherence processing (QuIP) to improve the performance of large language models (LLMs) in real-world scenarios. LLMs have been used in various applications, such as text creation, few-shot learning, reasoning, and protein sequence modeling. However, the large number of parameters in these models, which […]