
How to make Generative AI in Healthcare Safe, with Huma.ai's Lana Feng
Yaa Bitha
Deskripsi
<p>It’s been less than a year since OpenAI opened up ChatGPT to the general public, and less than six months since OpenAI introduced GPT-4, the large language model that currently powers ChatGPT. But in that brief time, the new crop of generative AI tools from OpenAI and competitors like Google and Anthropic has already started to transform the way we think about managing information. We’re entering an era when machines can generate, organize, and access information with a level of accuracy, speed, and originality that matches or exceeds the abilities of humans.</p><p>That doesn’t mean machines are making humans obsolete. But it does mean that organizations that deal in information need to figure out how to equip their people to use the new generative AI tools effectively. If they don’t, they’re going to get outperformed by competitors that do that better. And in Harry's view, professionals in drug discovery, drug development, and healthcare don’t quite understand the scale of the change that’s coming. They need to get up to speed <i>right now</i> if they want to incorporate generative AI into their work in a way that’s effective and safe.</p><p>Fortunately there are plenty of people in the life sciences industry thinking about how to help with that. And one of them is Harry's guest this week, Lana Feng. She’s the CEO and co-founder of Huma.ai, and under her leadership the company has been working with OpenAI to find ways to adapt large language models for use inside biotech and pharmaceutical companies. GPT-4 and competing models are extremely powerful. But for a bunch of reasons that Lana explains in this episode, it wouldn’t be smart to apply them directly to the kinds of data gathering and data analysis that go on in the biopharma world. Huma.ai is working on that problem. They’re building on top of GPT-4 to make the model more private, more secure, more reliable, and more transparent, so that companies in drug development can really trust it with their data and not get tripped up by issues like the hallucin
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Episode
How to make Generative AI in Healthcare Safe, with Huma.ai's Lana Feng
Yaa Bitha