This new, dead simple prompt technique boosts accuracy on LLMs by up to 76% on non-reasoning tasks

Most modern LLMs are trained as "causal" language models. This means they process text strictly from left to right. When the ...

DeepSeek’s conditional memory fixes silent LLM waste: GPU cycles lost to static lookups

Through systematic experiments DeepSeek found the optimal balance between computation and memory with 75% of sparse model ...
Dark Reading

2 Separate Campaigns Probe Corporate LLMs for Secrets

A total of 91,403 sessions targeted public LLM endpoints to find leaks in organizations' use of AI and map an expanding ...