Amazon is putting its Nova family large language models (LLMs) on display for a tryout aims to spur developer interest. And if Alexa+, which is also available for early access, performs well Nova's profile will only increase.
It's no coincidence that Amazon Web Services' Nova debut is riding shotgun along with Alexa+. At the Alexa+ launch in February, Amazon noted that the upgraded voice service will be powered by Nova and Anthropic models. The architecture behind Alexa+ picks models based on the task or question at hand.
Amazon Nova's site will look familiar to anyone who has been trying out various models. You have your pick of models including Nova Pro, Nova Lite and Nova Micro as well as Amazon Nova Canvas an image generator and Nova Reel for Gallery.
The company also launched Nova Act, which is in preview and is an agent that traverse web sites and complete tasks.
Constellation Research analyst Holger Mueller said:
“Amazon/AWS are still playing with other cloud vendors. But they are narrowing the gap, and the ability of Nova to take browser actions is one of those milestones. One always has to keep in mind that Amazon is using AI to improve the customer experience of its shopping side and be able to automate browser. Actions opens totally new alleys for online retail. We will see how soon we will have these capabilities on Amazon.com and how well they work.”
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At first glance, Amazon Nova appeared to be out of date. It didn't have my latest gig. The image generation was solid but lacked options.
Here's a look at an image of my dog. I asked for a watercolor, but Nova could only do some editing and provide variations. Converting to video was a nice touch.
Original image.
What Nova did with it.
Here's what OpenAI's model did with the same picture and followed up with options and was able to do a watercolor.
Nova was launched at AWS re:Invent in December and the rollout will likely include a bevy of update that will close gaps with other models.
AWS' strategy with Nova models is very similar to what it is doing with its custom silicon. The aim is to be a good enough option for multiple use cases at a lower cost. We're entering the "good enough" stage of the LLM race.
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