Six-month, CTEL-led programme blends machine learning, deep learning and generative AI with hands-on projects and a three-day ...
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Delhi Technological University, TimesPro announce inaugural advanced certificate program in artificial intelligence
Six-month, CTEL-led programme blends machine learning, deep learning and generative AI with hands-on projects and a three-day ...
A from-scratch PyTorch implementation of TurboQuant (ICLR 2026), Google's two-stage vector quantization algorithm for compressing LLM key-value caches — enhanced with a comprehensive, research-grade ...
Abstract: The recent surge of Deep Learning (DL) models and applications can be attributed to the rise in computational resources, availability of large-scale datasets, and accessible DL frameworks ...
Google has officially released TensorFlow 2.21. The most significant update in this release is the graduation of LiteRT from its preview stage to a fully production-ready stack. Moving forward, LiteRT ...
I lead an LLM pre-training team at Yandex and optimise large-scale distributed training runs. I lead an LLM pre-training team at Yandex and optimise large-scale distributed training runs. I lead an ...
Abstract: This paper presents the design of a framework for loading a pre-trained model in PyTorch on embedded devices to run local inference. Currently, TensorFlow Lite is the most widely used ...
JAX is one of the fastest-growing tools in machine learning, and this video breaks it down in just 100 seconds. We explain how JAX uses XLA, JIT compilation, and auto-vectorization to turn ordinary ...
I found that PyTorch torch.nn.Conv2d produces results that differ from TensorFlow, PaddlePaddle, and MindSpore under the same inputs, weights, bias, and hyperparameters. This seems to be a numerical ...
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