Post-training sparsification (PTS) is a technique used to sparsify a pretrained model without additional retraining. PTS usually incurs noticeable accuracy drop compared to the original model, thus it ...

AI-driven knowledge distillation is gaining attention. LLMs are teaching SLMs. Expect this trend to increase. Here's the ...

Financial writer bullish on Palantir Technologies Inc., raising target to $250/share due to AI growth and Trump ...

Anthropic has developed a barrier that stops attempted jailbreaks from getting through and unwanted responses from the model ...

Mixture-of-experts (MoE) is an architecture used in some AI and LLMs. DeepSeek garnered big headlines and uses MoE. Here are ...

LLM accuracy is a challenging topic to address and is much more multi-dimensional than a simple accuracy score. Denys Linkov ...