Meta’s Vision-Language Shift VL-JEPA Beats Bulky LLMs

VL-JEPA predicts meaning in embeddings, not words, combining visual inputs with eight Llama 3.2 layers to give faster answers ...
Morning Overview on MSNOpinion

AI’s next wave: new designs, AGI bets, and less LLM hype

After a breakneck expansion of generative tools, the AI industry is entering a more sober phase that prizes new architectures ...
Morning Overview on MSN

LLMs have tons of parameters, but what is a parameter?

Large language models are routinely described in terms of their size, with figures like 7 billion or 70 billion parameters ...