DeepSeek-V4-Flash：LLM引导机制重获关注
本文探讨了DeepSeek-V4-Flash如何让大型语言模型的引导向量（steering vectors）技术重新变得引人注目。引导向量是一种通过调整模型内部表示来改变其行为的方法，而无需重新训练。DeepSeek-V4-Flash的出现使得这一技术在实际应用中更加高效和可行，为控制LLM输出提供了新的可能性。
相关报道
DeepSeek-V4-Flash and DwarfStar 4 make LLM steering—directly manipulating model activations mid-inference—practical for local use. The author is skeptical about its utility, arguing most gains can be replicated with prompting or fine-tuning, but expects the next six months to reveal if steering has real applications.