Inflection-2, the superstar of AI training, flexed its metaphorical muscles on 5,000 NVIDIA H100 GPUs. That’s a lot of computing power, enough to put it in the same training class as Google’s flagship PaLM 2 Large model. But wait, there’s more! Inflection-2 doesn’t just keep up, it outperforms PaLM 2 on the majority of standard AI benchmarks. Take that, Google!
But Inflection-2 isn’t just about training. It’s got some serious serving efficiency too. Thanks to a transition to H100 GPUs and optimized inference implementation, Inflection-2 manages to serve faster and cheaper than its predecessor, Inflection-1. It’s like getting a bigger, better AI at a bargain price. Talk about a win-win!
Now, let’s talk safety, security, and trustworthiness. Inflection takes these responsibilities seriously, and their safety team is on top of things. They even signed up for the White House’s voluntary commitments and support global alignment and governance mechanisms. It’s nice to know that someone’s keeping an eye on these AI behemoths.
Of course, none of this would be possible without their partners in crime, NVIDIA, Microsoft, and CoreWeave. They collaborated and supported the building of the impressive AI cluster that made Inflection-1 and Inflection-2 a reality. Kudos to them!
And finally, the moment we’ve all been waiting for: the results. Inflection-2 shines on the MMLU benchmarks, proving its worth outside of GPT-4. It even outperforms Claude 2 with its chain-of-thought reasoning. Impressive, right? So, get ready to welcome Inflection-2 into your life and let it be your witty, clever, and humorous personal AI. After all, who needs friends when you’ve got an AI this entertaining?
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