In the beginning, everyone was surprised that large language models (LLMs) could speak in words. Those days are long past, and now the focus is on the depth of knowledge. The best way to deliver this is with specialization. Instea…
While generative AI has shown promising results in advancing software engineering, its inclusion within end-user applications is a different story. Features labeled as AI continue to pop up across every UI, but they’re not always …
Three key advantages of SLMs
Division of labor: Modern AI architecture uses routers to send routine tasks to 7B-parameter SLMs, reserving trillion-parameter LLMs only for complex reasoning.
Economic efficiency: For high-v…
Google’s Gemma 4 comes touted as the latest evolution of Google’s multi-modal model offerings. Gemma 4 not only offers reasoning and tool use, but vision and audio functionality, and it’s available in a range of model sizes that …
Car buyers kick tires. Horse traders inspect the teeth. What should shoppers for large language models (LLMs) do?
Here are 27 prescient questions that developers are asking before they adopt a particular model. Model capabilit…