• Separating best practice from hype: Lessons learned from early LLM adopters

  • 2024/10/23
  • 再生時間： 39 分
  • ポッドキャスト

Separating best practice from hype: Lessons learned from early LLM adopters

無料で聴く

ポッドキャストの詳細を見る

  • サマリー

  • LSEG recently hosted an evening of thought-provoking discussion and networking in New York City exploring how hedge funds are harnessing Large Language Models (LLMs) and what practitioners can learn from LLM experts in the healthcare and finance industries. The discussions addressed the unique challenges hedge funds face in implementing LLMs, including data privacy, model accuracy, and regulatory concerns. The first discussion was moderated by Nicole Allen, Director of Product Text Analytics, LSEG and she was joined by Ted Merz, CFA, Founder, Principals Media, Aziz Lookman, PhD, Chief Analytics Officer, Rational AI and Sonu Chopra Khullar, PhD, Director Machine Learning Engineering, Capital One. Let’s now take a listen in to their fascinating panel discussion and stay tuned as we will shortly release part two of that evening’s agenda.
    続きを読む 一部表示

あらすじ・解説

LSEG recently hosted an evening of thought-provoking discussion and networking in New York City exploring how hedge funds are harnessing Large Language Models (LLMs) and what practitioners can learn from LLM experts in the healthcare and finance industries. The discussions addressed the unique challenges hedge funds face in implementing LLMs, including data privacy, model accuracy, and regulatory concerns. The first discussion was moderated by Nicole Allen, Director of Product Text Analytics, LSEG and she was joined by Ted Merz, CFA, Founder, Principals Media, Aziz Lookman, PhD, Chief Analytics Officer, Rational AI and Sonu Chopra Khullar, PhD, Director Machine Learning Engineering, Capital One. Let’s now take a listen in to their fascinating panel discussion and stay tuned as we will shortly release part two of that evening’s agenda.
続きを読む 一部表示

Separating best practice from hype: Lessons learned from early LLM adoptersに寄せられたリスナーの声

カスタマーレビュー：以下のタブを選択することで、他のサイトのレビューをご覧になれます。

Audible.co.jp

Amazon.co.jp
レビューはまだありません。