How to train a GenAI Model: Pre-Training

Ever wondered how generative AI models are trained? In this video, I’m diving into the world of AI training and breaking down the three key phases: pre-training, fine-tuning, and prompt-based tuning. We’ll also explore how techniques like next-word prediction, masked sentence prediction, and next-sentence prediction work together to help AI models understand and generate human-like language.

Here’s What We’ll Cover:
• Pre-Training: Learn how AI models are set up using massive amounts of text data.
• Next-Word Prediction: Discover how AI guesses the next word to keep up with the context.
• Masked Sentence Prediction: See how AI fills in the blanks to learn about word relationships.
• Next-Sentence Prediction: Understand how predicting the next sentence helps AI grasp the flow of language.

Did you find this breakdown of AI training phases helpful? Drop a comment below—I’d love to know what you think and what you’d like to see next.

Check out my LinkedIn:   / donwoodlock  
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Interesting learning course on Generative AI: https://learning.intersystems.com/tot...

Timecodes:

00:00 - Introduction
00:10 - Overview of Generative AI Training Phases
0:20 - Understanding Pre-Training
01:10 - Next-Word Prediction Task
01:40 - Masked Sentence Prediction
03:35 - Next-Sentence Prediction Task
05:05 - Conclusion

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