• Episode 184: Dr Simone Arvisais-Anhalt And Dr Daniel Qazi: Large Language Models In Pathology: From Chat GPT to Retrieval Augmented Generation

  • Jul 1 2024
  • Duración: 57 m
  • Podcast

Episode 184: Dr Simone Arvisais-Anhalt And Dr Daniel Qazi: Large Language Models In Pathology: From Chat GPT to Retrieval Augmented Generation Por arte de portada

Episode 184: Dr Simone Arvisais-Anhalt And Dr Daniel Qazi: Large Language Models In Pathology: From Chat GPT to Retrieval Augmented Generation

Escúchala gratis

Ver detalles del espectáculo

  • Resumen

  • 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:

    Health Podcast Network

    LabVine Learning

    Dress A Med scrubs

    Digital Pathology Club

    Establishing priorities for implementation of large language models in pathology and laboratory medicine

    What is Retrieval Augmented Generation?

    People of Pathology Podcast:

    Twitter

    Instagram
    Más Menos
activate_primeday_promo_in_buybox_DT
Enfermedades Físicas Hygiene & Healthy Living Ciencia
Más Menos

Lo que los oyentes dicen sobre Episode 184: Dr Simone Arvisais-Anhalt And Dr Daniel Qazi: Large Language Models In Pathology: From Chat GPT to Retrieval Augmented Generation

Calificaciones medias de los clientes

Reseñas - Selecciona las pestañas a continuación para cambiar el origen de las reseñas.

Reseñas de Audible.com

Opiniones de Amazon
No hay comentarios disponibles