EPISODE · Mar 21, 2025 · 46 MIN
Claude Plays Pokémon - A Conversation with the Creator // David Hershey // #297
from MLOps.community · host Demetrios
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 // AbstractDemetrios 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.// BioDavid 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 LinksWebsite: https://www.davidhershey.com/~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin 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: /dpbrinkmConnect with David on LinkedIn: /david-hershey-458ab081Timestamps:[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
What this episode covers
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 // AbstractDemetrios 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.// BioDavid 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 LinksWebsite: https://www.davidhershey.com/~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin 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: /dpbrinkmConnect with David on LinkedIn: /david-hershey-458ab081Timestamps:[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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Claude Plays Pokémon - A Conversation with the Creator // David Hershey // #297
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