Flash Forward is a show about possible (and not so possible) future scenarios. What would the warranty on a sex robot look like? How would diplomacy work if we couldn’t lie? Could there ever be a fecal transplant black market? (Complicated, it wouldn’t, and yes, respectively, in case you’re curious.) Hosted and produced by award winning science journalist Rose Eveleth, each episode combines audio drama and journalism to go deep on potential tomorrows, and uncovers what those futures might re ...
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Episode 184: Dr Simone Arvisais-Anhalt And Dr Daniel Qazi: Large Language Models In Pathology: From Chat GPT to Retrieval Augmented Generation
Manage episode 426514280 series 3385006
内容由peopleofpathology提供。所有播客内容（包括剧集、图形和播客描述）均由 peopleofpathology 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品，您可以按照此处概述的流程进行操作https://zh.player.fm/legal。
My guests today are Dr Simone Arvisais-Anhalt and Dr Daniel Qazi.
- We discussed the benefits of using LLMs in pathology, including creating outlines, data analysis, and translating reports for patients
- There are also challenges in the use LLMs, such as hallucinations and bias
- Dr. Arvisais-Anhalt and Dr. Qazi described their study on using LLMs in clinical practice
- They were some interesting findings from the study, including different use cases and limitations of the tool
- We talked about future plans to implement retrieval augmented generation for tailored responses in pathology and laboratory medicine
Links for this episode:
What is Retrieval Augmented Generation?
People of Pathology Podcast:
190集单集
分享
Manage episode 426514280 series 3385006
内容由peopleofpathology提供。所有播客内容（包括剧集、图形和播客描述）均由 peopleofpathology 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品，您可以按照此处概述的流程进行操作https://zh.player.fm/legal。
My guests today are Dr Simone Arvisais-Anhalt and Dr Daniel Qazi.
- We discussed the benefits of using LLMs in pathology, including creating outlines, data analysis, and translating reports for patients
- There are also challenges in the use LLMs, such as hallucinations and bias
- Dr. Arvisais-Anhalt and Dr. Qazi described their study on using LLMs in clinical practice
- They were some interesting findings from the study, including different use cases and limitations of the tool
- We talked about future plans to implement retrieval augmented generation for tailored responses in pathology and laboratory medicine
Links for this episode:
What is Retrieval Augmented Generation?
People of Pathology Podcast:
190集单集
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类似 People of Pathology Podcast 的节目
Flash Forward is a show about possible (and not so possible) future scenarios. What would the warranty on a sex robot look like? How would diplomacy work if we couldn’t lie? Could there ever be a fecal transplant black market? (Complicated, it wouldn’t, and yes, respectively, in case you’re curious.) Hosted and produced by award winning science journalist Rose Eveleth, each episode combines audio drama and journalism to go deep on potential tomorrows, and uncovers what those futures might re ...
…
continue reading
Artificial Intelligence has suddenly gone from the fringes of science to being everywhere. So how did we get here? And where's this all heading? In this new series of Science Friction, we're finding out.
…
continue reading
Emergency Medicine Cases – Where the Experts Keep You in the Know. For show notes, quizzes, videos and more learning tools please visit emergencymedicinecases.com
…
continue reading
Help me fill in the blanks of the practice of ED Critical Care. In this podcast, we discuss all things related to the crashing, critically ill patient in the Emergency Department. Find the show notes at emcrit.org.
…
continue reading
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…
continue reading
DNA science. Artificial intelligence. Smartphones and 3D printers. Science and technology have transformed the world we live in. But how did we get here? It wasn’t by accident. Well, sometimes it was. It was also the result of hard work, teamwork, and competition. And incredibly surprising moments. Hosted by bestselling author Steven Johnson (“How We Got To Now”), American Innovations uses immersive scenes to tell the stories of the scientists, engineers, and ordinary people behind the great ...
…
continue reading
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…
continue reading
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continue reading
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…
continue reading
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…
continue reading
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