Inbal Shani: evaluation

Transcript context

…That's so funny. That reminds me, I was watching a talk of yours and you were training tuning models and LMS way back in the day, before it was very cool. And so you've been in this space for a long time. Looking back, is there something that you see now of where things were going that you didn't see at the time? I grew up in a world of niche AI where you have to be an expert and you need to be trained for years understanding how to tune a model, what is the right output, and you needed to understand how to build a simulation to test it, how to ingest data, focus on optimization. I've seen the evolution of AI throughout the year with all the talking devices and conversational AI, and then it started as a single term. It came up as a multi-term. So I've started seeing that trend of more democratizing AI, but I didn't expect that boom of generative AI. Everyone that even doesn't even know what AI is, that they need to use AI. I think that was the thing that caught me by surprise because I was so trained that you have to be an expert to use AI. So for me that was aha moments, like hmm, this is interesting. So what's next? Do you have an opinion on whether large language models are the end all and be all of where all this goes and just continue to add in compute and data? Or do you think there's another, I don't know, something on the horizon that's going to again completely transform the transformer model of AI?…

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