Artwork

Konten disediakan oleh Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang diuraikan di sini https://id.player.fm/legal.
Player FM - Aplikasi Podcast
Offline dengan aplikasi Player FM !

Using Large Language Models in the National Security Realm

34:45
 
Bagikan
 

Manage episode 401213568 series 2487640
Konten disediakan oleh Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang diuraikan di sini https://id.player.fm/legal.

At the request of the White House, the Office of the Director of National Intelligence (ODNI) began exploring use cases for large language models (LLMs) within the Intelligence Community (IC). As part of this effort, ODNI sponsored the Mayflower Project at Carnegie Mellon University’s Software Engineering Institute (SEI) from May 2023 through September 2023. The Mayflower Project attempted to answer the following questions:

  1. How might the IC set up a baseline, stand-alone LLM?
  2. How might the IC customize LLMs for specific intelligence use cases?
  3. How might the IC evaluate the trustworthiness of LLMs across use cases?

In this SEI Podcast, Shannon Gallagher, AI engineering team lead, and Rachel Dzombak, special advisor to the director of the SEI’s AI Division, discuss the findings and recommendations from the Mayflower Project and provides additional background information about LLMs and how they can be engineered for national security use cases.

  continue reading

423 episode

Artwork
iconBagikan
 
Manage episode 401213568 series 2487640
Konten disediakan oleh Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang diuraikan di sini https://id.player.fm/legal.

At the request of the White House, the Office of the Director of National Intelligence (ODNI) began exploring use cases for large language models (LLMs) within the Intelligence Community (IC). As part of this effort, ODNI sponsored the Mayflower Project at Carnegie Mellon University’s Software Engineering Institute (SEI) from May 2023 through September 2023. The Mayflower Project attempted to answer the following questions:

  1. How might the IC set up a baseline, stand-alone LLM?
  2. How might the IC customize LLMs for specific intelligence use cases?
  3. How might the IC evaluate the trustworthiness of LLMs across use cases?

In this SEI Podcast, Shannon Gallagher, AI engineering team lead, and Rachel Dzombak, special advisor to the director of the SEI’s AI Division, discuss the findings and recommendations from the Mayflower Project and provides additional background information about LLMs and how they can be engineered for national security use cases.

  continue reading

423 episode

Tất cả các tập

×
 
Loading …

Selamat datang di Player FM!

Player FM memindai web untuk mencari podcast berkualitas tinggi untuk Anda nikmati saat ini. Ini adalah aplikasi podcast terbaik dan bekerja untuk Android, iPhone, dan web. Daftar untuk menyinkronkan langganan di seluruh perangkat.

 

Panduan Referensi Cepat