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Microsoft Reactor

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发现、联系、增长

Microsoft Reactor

加入 Microsoft Reactor 并实时与初创公司和开发人员互动

是否准备好开始使用 AI？  Microsoft Reactor 提供活动、培训和社区资源，以帮助初创公司、企业家和开发人员利用 AI 技术打造新业务。快加入我们吧！

GenAI for SW developers - V.2! 2# Dr. GPT: Grounding LLMs in Healthcare

22 五月, 2024 | 8:30 上午 - 9:45 上午 (UTC) 协调世界时

形式:
直播

主题: 核心 AI

语言: 英语

Join us for the Reactor Series - GenAI for Software Developers V2, where we delve into the cutting-edge world of Large Language Models (LLMs) and their applications. Across four illuminating episodes, we'll explore the intricacies of LLM evaluation, their groundbreaking potential in healthcare, and revolutionary natural language interfaces for analytics.

About the Series:
Through a series of engaging sessions, participants will gain insights into cutting-edge technologies, best practices, and real-world use cases, empowering them to leverage AI to drive innovation in their own projects.

Who Should Attend:
This session is ideal for software developers, data scientists, AI enthusiasts, and anyone interested in the intersection of artificial intelligence and software development. Whether you're looking to stay updated on the latest trends in AI or seeking practical insights to enhance your development projects, this session offers valuable knowledge and perspectives.

Why Should You Join:

Gain insights into the evaluation methods of Large Language Models (LLMs) from an industry expert.
Explore the significance of LLM assessment and its implications for responsible development.
Learn about core capabilities, challenges, and methods used to ensure the effectiveness of LLMs.
Network with fellow software developers and AI enthusiasts to exchange ideas and best practices.
Stay updated on the latest advancements in artificial intelligence and their applications in software development.

Agenda:

Session Title: Dr. GPT: Grounding LLMs in Healthcare
Speaker: Rachel Wities, NLP Data Scientist at Microsoft Healthcare

Session Overview:
Large Language Models excel in answering medical exam questions, but applying them to real-world problems often requires more guidance and fine-tuning for precise results. In this lecture, I'll review existing methods for effectively applying LLMs to medical question answering tasks and demonstrate how to use Azure's Text Analytics for Health to improve their performance and effectively evaluate the results they generate.

Join us as we unravel the intricacies of LLMs and their transformative potential in software development. Don't miss out on this enlightening series at Reactor Series - GenAI for Software Developers V2.

主讲人