The playground demo looks good, but how does the model perform under real-world conditions with high demand and diverse user inputs?

Our models can handle diverse user inputs well and have high accuracy in our benchmark results. Feel free to check it out here: https://huggingface.co/NexaAIDev/Octopus-v2/blob/main/androi...

It can also handle high demand thanks to its lightweight architecture. During our test, our API has 100x more rate limiting than GPT-4o API

The FCC has proposed a $6 million fine for the scammer who used voice-cloning tech to impersonate President Biden in a series of illegal robocalls during a New Hampshire primary election. It’s more about robocalls than AI, but the agency is clearly positioning this as a warning to other would-be high-tech scammers. As you may recall, in January, many voters in New Hampshire received a call purporting to be a message from the president telling them not to vote in the upcoming primary. This was, of course, fake — a voice clone of President Biden using tech that has become widely available over the last couple years.

So sick of “proposed” or requested penalties being in headlines as if they are the actual consequence