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Balancing Speed and Safety // Panel // AIQCON
Manage episode 432114180 series 3241972
Demetrios Brinkmann द्वारा प्रदान की गई सामग्री. एपिसोड, ग्राफिक्स और पॉडकास्ट विवरण सहित सभी पॉडकास्ट सामग्री Demetrios Brinkmann या उनके पॉडकास्ट प्लेटफ़ॉर्म पार्टनर द्वारा सीधे अपलोड और प्रदान की जाती है। यदि आपको लगता है कि कोई आपकी अनुमति के बिना आपके कॉपीराइट किए गए कार्य का उपयोग कर रहा है, तो आप यहां बताई गई प्रक्रिया का पालन कर सकते हैं https://hi.player.fm/legal।
This is a panel taken from the recent AI quality Conference presented by the MLOps Community and Kolena
// Abstract The need for moving to production quickly is paramount in staying out of perpetual POC territory. AI is moving fast. Shipping features fast to stay ahead of the competition is commonplace. Quick iterations are viewed as strength in the startup ecosystem, especially when taking on a deeply entrenched competitor. Each week a new method to improve your AI system becomes popular or a SOTA foundation model is released. How do we balance the need for speed vs the responsibility of safety? Having the confidence to ship a cutting-edge model or AI architecture and knowing it will perform as tasked. What are the risks and safety metrics that others are using when they deploy their AI systems. How can you correctly identify when risks are too large? // Panelists - Remy Thellier: Head of Growth & Strategic Partnerships @ Vectice - Erica Greene: Director of Engineering, Machine Learning @ Yahoo - Shreya Rajpal: Creator @ Guardrails AI A big thank you to our Premium Sponsors Google Cloud & Databricks for their generous support!
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