Google released Gemma 2, an open model family with 9B and 27B parameter sizes, featuring architectural changes like hybrid attention and Grouped-Query Attention for improved inference efficiency. The …
New research spanning 11 models including Qwen 2.5, Gemma 2, and Llama 3.2 reveals that larger language models systematically shift their evaluation-awareness to earlier network layers, indicating the…
Google's Gemma 2 models demonstrate that architectural efficiency can deliver competitive performance with fewer parameters. The 27B model rivals models twice its size through hybrid attention, Groupe…
Open-weight AI models are now 3–6 months behind frontier cloud models in benchmark performance, but the gap is closing fast enough that local AI has become a viable infrastructure decision for cost, p…