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186. Top Conversations on AI in 2023: from LLMs to Regulations

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Manage episode 391431465 series 3297118
Content provided by Pam Didner and Camille Morhardt. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Pam Didner and Camille Morhardt or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In this episode of InTechnology, Camille looks back on some of the most exciting conversations on AI in 2023. Things kick off with Andres Rodriguez, Intel Fellow, and his conversation on deep learning, a subset of machine learning. Then, Selvakumar Panneer and Omesh Tickoo, Principal Engineers at Intel Labs, discuss synthetic data. This is followed up by touching on large language models or LLMs with Sanjay Rajagopalan, Chief Design and Strategy Officer at Vianai Systems. Finally, the episode wraps up with independent AI policy and governance advisor Chloe Audio giving her insight on emerging AI regulations.

Listen to the full episodes:

What That Means with Camille: Deep Learning (142): https://cybersecurityinside.libsyn.com/142-what-that-means-with-camille-deep-learning

What That Means with Camille: Synthetic Data (139): https://cybersecurityinside.libsyn.com/139-what-that-means-with-camille-synthetic-data

Why and How Enterprises Are Adopting LLMs (174): https://cybersecurityinside.libsyn.com/174-why-and-how-enterprises-are-adopting-llms

Emerging U.S. Policies, Legislation, and Executive Orders on AI (178): https://cybersecurityinside.libsyn.com/178-emerging-us-policies-legislation-and-executive-orders-on-ai

Deep Dive: U.S. Executive Order on Artificial Intelligence (181): https://cybersecurityinside.libsyn.com/181-deep-dive-us-executive-order-on-artificial-intelligence

The views and opinions expressed are those of the guests and author and do not necessarily reflect the official policy or position of Intel Corporation.

  continue reading

100 episodes

Artwork
iconShare
 
Manage episode 391431465 series 3297118
Content provided by Pam Didner and Camille Morhardt. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Pam Didner and Camille Morhardt or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In this episode of InTechnology, Camille looks back on some of the most exciting conversations on AI in 2023. Things kick off with Andres Rodriguez, Intel Fellow, and his conversation on deep learning, a subset of machine learning. Then, Selvakumar Panneer and Omesh Tickoo, Principal Engineers at Intel Labs, discuss synthetic data. This is followed up by touching on large language models or LLMs with Sanjay Rajagopalan, Chief Design and Strategy Officer at Vianai Systems. Finally, the episode wraps up with independent AI policy and governance advisor Chloe Audio giving her insight on emerging AI regulations.

Listen to the full episodes:

What That Means with Camille: Deep Learning (142): https://cybersecurityinside.libsyn.com/142-what-that-means-with-camille-deep-learning

What That Means with Camille: Synthetic Data (139): https://cybersecurityinside.libsyn.com/139-what-that-means-with-camille-synthetic-data

Why and How Enterprises Are Adopting LLMs (174): https://cybersecurityinside.libsyn.com/174-why-and-how-enterprises-are-adopting-llms

Emerging U.S. Policies, Legislation, and Executive Orders on AI (178): https://cybersecurityinside.libsyn.com/178-emerging-us-policies-legislation-and-executive-orders-on-ai

Deep Dive: U.S. Executive Order on Artificial Intelligence (181): https://cybersecurityinside.libsyn.com/181-deep-dive-us-executive-order-on-artificial-intelligence

The views and opinions expressed are those of the guests and author and do not necessarily reflect the official policy or position of Intel Corporation.

  continue reading

100 episodes

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