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AI Testing Highlights // Special MLOps Podcast Episode

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Contenuto fornito da Demetrios Brinkmann. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Demetrios Brinkmann o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

MLOps for GenAI Applications // Special MLOps Podcast episode with Demetrios Brinkmann, Chief Happiness Engineer at MLOps Community. // Abstract Demetrios explores common themes in ML model testing with insights from Erica Greene (Yahoo News), Matar Haller (ActiveFence), Mohamed Elgendy (Kolena), and Catherine Nelson (Freelance Data Scientist). They discuss tiered test cases, functional testing for hate speech, differences between AI and traditional software testing, and the complexities of evaluating LLMs. Demetrios wraps up by inviting feedback and promoting an upcoming virtual conference on data engineering for AI and ML. // Bio At the moment Demetrios is immersing himself in Machine Learning by interviewing experts from around the world in the weekly MLOps Community Podcasts. Demetrios is constantly learning and engaging in new activities to get uncomfortable and learn from his mistakes. He tries to bring creativity into every aspect of his life, whether that be analyzing the best paths forward, overcoming obstacles, or building lego houses with his daughter. // MLOps Jobs board https://mlops.pallet.xyz/jobs // MLOps Swag/Merch https://mlops-community.myshopify.com/ // Related Links Balancing Speed and Safety // Panel // AIQCON - https://youtu.be/c81puRgu3Kw AI For Good - Detecting Harmful Content at Scale // Matar Haller // MLOps Podcast #246 - https://youtu.be/wLKlZ6yHg1k What is AI Quality? // Mohamed Elgendy // MLOps Podcast #229 - https://youtu.be/-Jdmq4DiOew All Data Scientists Should Learn Software Engineering Principles // Catherine Nelson // Podcast #245 - https://youtu.be/yP6Eyny7p20 --------------- ✌️Connect With Us ✌️ ------------- Join our slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Catch all episodes, blogs, newsletters, and more: https://mlops.community/ Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Timestamps: [00:00] Exploring common themes in MLOps community [00:49] Common patterns about model output and testing [01:34] Tiered test case strategy [03:05] Functional testing for models [05:24] Testing coverage and quality [07:47] Evaluating LLMs challenges [08:35] Please like, share, leave a review, and subscribe to our MLOps channels!

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391 episodi

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iconCondividi
 
Manage episode 437462655 series 3241972
Contenuto fornito da Demetrios Brinkmann. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Demetrios Brinkmann o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

MLOps for GenAI Applications // Special MLOps Podcast episode with Demetrios Brinkmann, Chief Happiness Engineer at MLOps Community. // Abstract Demetrios explores common themes in ML model testing with insights from Erica Greene (Yahoo News), Matar Haller (ActiveFence), Mohamed Elgendy (Kolena), and Catherine Nelson (Freelance Data Scientist). They discuss tiered test cases, functional testing for hate speech, differences between AI and traditional software testing, and the complexities of evaluating LLMs. Demetrios wraps up by inviting feedback and promoting an upcoming virtual conference on data engineering for AI and ML. // Bio At the moment Demetrios is immersing himself in Machine Learning by interviewing experts from around the world in the weekly MLOps Community Podcasts. Demetrios is constantly learning and engaging in new activities to get uncomfortable and learn from his mistakes. He tries to bring creativity into every aspect of his life, whether that be analyzing the best paths forward, overcoming obstacles, or building lego houses with his daughter. // MLOps Jobs board https://mlops.pallet.xyz/jobs // MLOps Swag/Merch https://mlops-community.myshopify.com/ // Related Links Balancing Speed and Safety // Panel // AIQCON - https://youtu.be/c81puRgu3Kw AI For Good - Detecting Harmful Content at Scale // Matar Haller // MLOps Podcast #246 - https://youtu.be/wLKlZ6yHg1k What is AI Quality? // Mohamed Elgendy // MLOps Podcast #229 - https://youtu.be/-Jdmq4DiOew All Data Scientists Should Learn Software Engineering Principles // Catherine Nelson // Podcast #245 - https://youtu.be/yP6Eyny7p20 --------------- ✌️Connect With Us ✌️ ------------- Join our slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Catch all episodes, blogs, newsletters, and more: https://mlops.community/ Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Timestamps: [00:00] Exploring common themes in MLOps community [00:49] Common patterns about model output and testing [01:34] Tiered test case strategy [03:05] Functional testing for models [05:24] Testing coverage and quality [07:47] Evaluating LLMs challenges [08:35] Please like, share, leave a review, and subscribe to our MLOps channels!

  continue reading

391 episodi

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