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Innhold levert av Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
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ChatGPT and the Evolution of Large Language Models: A Deep Dive into 4 Transformative Case Studies

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Manage episode 389494811 series 3018913
Innhold levert av Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

To better understand the potential uses of large language models (LLMs) and their impact, a team of researchers at the Carnegie Mellon University Software Engineering Institute CERT Division conducted four in-depth case studies. The case studies span multiple domains and call for vastly different capabilities. In this podcast, Matthew Walsh, a senior data scientist in CERT, and Dominic Ross, Multi-Media Design Team lead, discuss their work in developing the four case studies as well as limitations and future uses of ChatGPT.

  continue reading

426 episoder

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iconDel
 
Manage episode 389494811 series 3018913
Innhold levert av Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

To better understand the potential uses of large language models (LLMs) and their impact, a team of researchers at the Carnegie Mellon University Software Engineering Institute CERT Division conducted four in-depth case studies. The case studies span multiple domains and call for vastly different capabilities. In this podcast, Matthew Walsh, a senior data scientist in CERT, and Dominic Ross, Multi-Media Design Team lead, discuss their work in developing the four case studies as well as limitations and future uses of ChatGPT.

  continue reading

426 episoder

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