Melanie Kambadur, Research Engineering Manager at Meta's FAIR Labs, discusses model hallucination issues in large language models.
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Kambadur: AI voice models replicate human speech from three seconds of audio
“So now we have voice models that can listen to Three seconds, I think, that we had recently. This new volley of your voice, and then replicate your voice. We have models that can get, like, a very short sentence and generate, like, minutes-long video that desc…”
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Kambadur: Generative 3D AI tools will vastly accelerate building the metaverse
“That's kind of like how the metaverse is gonna happen. We're gonna be able to like walk around and generated three D worlds in VR, and they're all gonna be built Much more quickly than maybe we expected a few years ago.”
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Kambadur: Triggering unsafe OpenAI outputs requires clever adversarial prompt engineering
“I've seen really huge advances from open AI's models in their responsible AI and their safety. Like now it takes a lot of clever prompt engineering is what we call, you know, using different ways of talking to the model to get it to reveal interesting stuff. I…”
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Kambadur: AI inference costs tens of cents for text, dollars for video
“Every time the user wants to call the model, it might cost, you know, tens of cents for a text model or dollars for a video model.”
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Kambadur: Synthetic data generation is a highly popular use case for LLMs
“A very popular use of these LLMs is to generate synthetic data to train other models, because they're really good at generating sort of long tail data.”
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Kambadur: OpenAI sought top 10th percentile doctors and lawyers as data annotators
“Their model itself has gotten so good that they now need, like, extreme experts to be able to train the model, so we saw an ad for their annotators, which are the people who, like, help give feedback to the model, and they asked for, like, top 10 percentile ch…”