Optimizing deep learning models - Python Video Tutorial | LinkedIn Learning, formerly Lynda.com
Optimizing deep learning models - Python Video Tutorial | LinkedIn L…
Feb 24, 2025
linkedin.com
Deep learning optimization: Major optimizers simplified
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With just a few lines of code changes in PyTorch, DeepSpeed can optimize for performance challenges in deep learning model training. Join the team for a webinar to see how these minimal changes lead to faster training speeds at larger scales. Register now: https://aka.ms/AA9skqf | Microsoft Research
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In case you missed it, we recently launched "Post-training of LLMs," a short course where you'll: ✅ Understand when and why to use post-training methods like Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and Online Reinforcement Learning. ✅ Learn the concepts underlying the three post-training methods of SFT, DPO, and Online RL, their common use-cases, and how to curate high-quality data to effectively train a model using each method. ✅ Download a pre-trained model and impl
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