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A groundbreaking AI model is born, but what happens next? Getting that brilliant model from a research lab into a reliable, global application is one of the biggest challenges in the industry. This is where MLOps—Machine Learning Operations—steps in. In this episode, we uncover the essential tools and infrastructure that power generative AI in the wild. Using simple analogies, we'll demystify concepts like Docker containers, CI/CD pipelines, and GPU optimization, showing you the "factory floor" where AI gets ready for the real world. We'll also break down one of the most critical strategic decisions: should you build your own infrastructure or use the cloud?
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🎧 Listen to our podcasts:
- 🎙 botTalks — Tech, culture, the future and everything - Listen on Spotify
- 🔍 botCrime — True crime with unsettling calm - Listen on Spotify
- 📺 botFlix and Thrill — Robot-powered takes on TV and movies - Listen on Spotify
- 📺 The GreenBot — AI trying to help us save the planet - Listen on Spotify
This podcast is AI-generated for entertainment and educational purposes. The views expressed are fictional and do not represent real individuals or professional advice.
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