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I Let An AI Play Pokémon! - Claude plays Pokémon Creator // MLOps Podcast #297 with David Hershey, Member of Technical Staff at Anthropic.
Join the Community: https://go.mlops.community/YTJoinIn
Get the newsletter: https://go.mlops.community/YTNewsletter
// Abstract
Demetrios chats with David Hershey from Anthropic's Applied AI team about his agent-powered Pokémon project using Claude. They explore agent frameworks, prompt optimization vs. fine-tuning, and AI's growing role in software, legal, and accounting fields. David highlights how managed AI platforms simplify deployment, making advanced AI more accessible.
// Bio
David Hershey devoted most of his career to machine learning infrastructure and trying to abstract away the hairy systems complexity that gets in the way of people building amazing ML applications.
// Related Links
Website: https://www.davidhershey.com/
~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~
Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExplore
Join our Slack community [https://go.mlops.community/slack]
Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)]
Sign up for the next meetup: [https://go.mlops.community/register]
MLOps Swag/Merch: [https://shop.mlops.community/]
Connect with Demetrios on LinkedIn: /dpbrinkm
Connect with David on LinkedIn: /david-hershey-458ab081
Timestamps:
[00:00] David's preferred coffee
[00:07] Takeaways
[00:52] Claude Plays Pokémon insights
[07:07] AI Agent Framework design
[12:45] Fine-tuning vs prompting
[17:25] Model Cost vs Inference Cost
[22:20] Prompt vs Fine-Tuning
[32:34] Model Updates and Prompting
[36:09] AI Evolution and Reflection
[40:11] Cognitive Load in UX
[44:35] Outsourcing ML in Finance
[46:38] Wrap up
By Demetrios4.6
2323 ratings
I Let An AI Play Pokémon! - Claude plays Pokémon Creator // MLOps Podcast #297 with David Hershey, Member of Technical Staff at Anthropic.
Join the Community: https://go.mlops.community/YTJoinIn
Get the newsletter: https://go.mlops.community/YTNewsletter
// Abstract
Demetrios chats with David Hershey from Anthropic's Applied AI team about his agent-powered Pokémon project using Claude. They explore agent frameworks, prompt optimization vs. fine-tuning, and AI's growing role in software, legal, and accounting fields. David highlights how managed AI platforms simplify deployment, making advanced AI more accessible.
// Bio
David Hershey devoted most of his career to machine learning infrastructure and trying to abstract away the hairy systems complexity that gets in the way of people building amazing ML applications.
// Related Links
Website: https://www.davidhershey.com/
~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~
Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExplore
Join our Slack community [https://go.mlops.community/slack]
Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)]
Sign up for the next meetup: [https://go.mlops.community/register]
MLOps Swag/Merch: [https://shop.mlops.community/]
Connect with Demetrios on LinkedIn: /dpbrinkm
Connect with David on LinkedIn: /david-hershey-458ab081
Timestamps:
[00:00] David's preferred coffee
[00:07] Takeaways
[00:52] Claude Plays Pokémon insights
[07:07] AI Agent Framework design
[12:45] Fine-tuning vs prompting
[17:25] Model Cost vs Inference Cost
[22:20] Prompt vs Fine-Tuning
[32:34] Model Updates and Prompting
[36:09] AI Evolution and Reflection
[40:11] Cognitive Load in UX
[44:35] Outsourcing ML in Finance
[46:38] Wrap up

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