New PyTorch Certificate by Laurence Moroney at DeepLearning.AI | Andrew Ng posted on the topic | LinkedIn
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LLMs can take gigabytes of memory to store, which limits what can be run on consumer hardware. But quantization can dramatically compress models, making a wider selection of models available to developers. You can often reduce model size by 4x or more while maintaining reasonable performance. In our new short course Quantization Fundamentals taught by Hugging Face's Younes Belkada and Marc Sun, you'll: - Learn how to quantize nearly any open source model - Use int8 and bfloat16 (Brain float 16)
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An exciting new professional certificate: PyTorch for Deep Learning, taught by Laurence Moroney, is now available at DeepLearning.AI. This is the definitive program for learning PyTorch, which is one of the main frameworks researchers use to build breakthrough AI systems. If you want to understand how modern deep learning models work—or build your own custom architectures—PyTorch gives you direct control over the key aspects of model development. This three-course professional certificate takes
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