I just read this fascinating article on Microsoft Research's blog about their new small language model, Phi-2. It's a compact model with 270 million parameters, yet it shows remarkable reasoning and language understanding abilities. What's more impressive is its performance compared to much larger models.
Phi-2's safety and bias behavior seem superior to some existing aligned open-source models. Maybe a game-changer in the field.
This got me thinking about the potential applications of such small models. They're ideal for deployment on personal devices like phones and laptops, possibly even extending to consumer electronics soon.
