Browsing: LLMs

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You load a 7B parameter model onto a GPU. It fits comfortably. The first few prompts return without issue. Ten messages into the conversation, though, an out-of-memory error kills the process. This article breaks down exactly where every byte of VRAM goes during local LLM inference, provides a working Python calculator for estimating peak memory…

It is impossible to make large language models fully secure against hacks because of a fundamental flaw in how they work, a team of researchers argue in a paper presented at the International Conference on Machine Learning, a top AI conference, this month. The claim has huge implications for the safety of this technology, which…