Mihail Eric is an engineer, researcher, and educator who has helped start teams at innovative organizations such as Amazon Alexa and RideOS.
Mihail is a cofounder of Storia AI where they build an AI-powered creative assistant for fast and delightful image and video generation.
MLOps podcast #200 with Mihail Eric, Co-founder of Storia AI, Founding, Funding, and the Future of MLOps.
// Abstract
Demetrios and Mihail journey deep into the significance of human sentiment in an increasingly AI-driven era, the perils and promises of conversational AI, and the evolution and impact of image generation models.
Delve into the world of MLOps versus LLMOps, offering clarifying perspectives on how the core concerns and technology persist, even amidst an evolving tech landscape with new buzzwords making waves. Mihail generously provides an inside look at his AI tool and its wide range of applications across various industries, offering insights on interesting niche-specific verticals and unexpected use cases.
// Bio
Mihail is a co-CEO of Storia AI, an early-stage startup building an AI-powered creative assistant for video production. He has over a decade of experience researching and engineering AI systems at scale. Previously he built the first deep-learning dialogue systems at the Stanford NLP group. He was also a founding member of Amazon Alexa’s first special projects team where he built the organization’s earliest large language models. Mihail is a serial entrepreneur who previously founded Confetti AI, a machine-learning education company that he led until its acquisition in 2022.
// MLOps Jobs board
https://mlops.pallet.xyz/jobs
// MLOps Swag/Merch
https://mlops-community.myshopify.com/
// Related Links
Website: www.mihaileric.com
https://www.storia.ai/
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Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/
Connect with Mihail on LinkedIn: https://www.linkedin.com/in/mihaileric/
Timestamps:
[00:00] Spotify playlist
[02:08] How to live a longer healthier life
[03:43] Absurd sweater collection
[06:03] The catch-up episode
[08:10] MLOps versus LLMOps
[13:27] AI apps mixing visuals and text
[16:00] Founder dating
[16:54] Stable diffusion and difficulties with Mid Journey
[23:12] Stripe developer experience
[25:04] APIs and Model Providers
[27:33] Host stable diffusion on AWS
[34:07] AI Creativity: Prompt Experimentation
[35:45] AI Challenges and Solutions
[39:51] AI Hype Frustration
[44:31] AI Impact on Hollywood
[48:11] AI Impact on Filmmaking
[51:48] Generalizable Tool for Verticals
[52:49] MLOps versus LLMOps
[56:42] Wrap up
