AI ML Training versus Inference

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AI ML Training versus Inference

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AI / ML Knowledge one concept at a time. Curious about the distinction between AI training and AI inference in the field of Artificial Intelligence and Machine Learning (AI ML)? This video breaks down the key differences between the two processes, exploring how AI models are trained to make predictions versus how they actually make those predictions in real-world scenarios. Gain a deeper understanding of the fundamental concepts that drive AI technology forward in 2024..

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Комментарии
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This is a really good, clear explanation. Off topic, but I was impressed with how you presented this with your whole body in frame as if it is a live in-person presentation. You did a great job with the green screen (was it a green screen?). Good lighting with no green artifacts. Nicely done.

Presentation-Zen
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I loved this because 1. It made sense. And 2. You encouraged the real world.

brownbagvideo
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Loved it. Crystal clear explanation.Thank you so much.

anubhabofficial
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A video about ML systems which are always on, always learning from continuous inputs (sensors: cameras, audio, stream scraping) would be nice. As opposed to systems where they are taught specific provided content and operate only in input-response mode (typical systems today).

Do continuous machine learning (CML) systems exist already?

Denigor
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Please no music, this is educational, not an ad

MuchoMate