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Dr. Gurinderjeet Kaur (Phd, CSE)“My Journey to Learn Generative AI with LangChain”“Build Large Language Models (LLMs) apps with Python, ChatGPT, and other LLMs”Jan 20, 2024Jan 20, 2024
InTDS ArchivebyLeonie MonigattiA Guide on 12 Tuning Strategies for Production-Ready RAG ApplicationsHow to improve the performance of your Retrieval-Augmented Generation (RAG) pipeline with these “hyperparameters” and tuning strategiesDec 6, 202316Dec 6, 202316
InTowards AIbyYoussef HosniA Gentle Introduction to Generative Adversarial Networks (GANs)What is GAN's main component, and how does it work?Oct 2, 20235Oct 2, 20235
InTDS ArchivebySamuel FlenderThe Multi-Task Optimization ControversyDo we need special algorithms to train models on multiple tasks at the same time?Sep 29, 20231Sep 29, 20231
InTDS ArchivebyChaim RandPyTorch Model Performance Analysis and OptimizationHow to Use PyTorch Profiler and TensorBoard to Accelerate Training and Reduce CostJun 12, 20234Jun 12, 20234
InTDS ArchivebyChaim RandPyTorch Model Performance Analysis and Optimization — Part 6How to Identify and Analyze Performance Issues in the Backward Pass with PyTorch Profiler, PyTorch Hooks, and TensorBoardSep 20, 2023Sep 20, 2023
InTDS ArchivebySascha KirchBYOL -The Alternative to Contrastive Self-Supervised LearningBootstrap Your Own Latent: A New Approach to Self-Supervised Learning by J. Grill et. al.Sep 7, 20232Sep 7, 20232
InTDS ArchivebyFrançois PorcherV-Net, U-Net’s big brother in Image SegmentationWelcome to this guide about the V-Net, the cousin of the well known U-Net, for 3D images segmentations. You will know it inside out!Jul 28, 20231Jul 28, 20231
InTDS ArchivebyMoein ShariatniaImplementing math in deep learning papers into efficient PyTorch code: SimCLR Contrastive LossImplementing the math in papers into PyTorch / TF code will improve your coding skills and understanding of the workings of deep models.Jul 5, 20232Jul 5, 20232
InTDS ArchivebyAndre YeRecurrent Neural Networks, Explained and Visualized from the Ground UpWith an application to machine translationJun 22, 2023Jun 22, 2023
InTDS ArchivebyPietro BarbieroImplement interpretable neural models in PyTorch!Hands-on tutorials to implement interpretable concept-based models with the “PyTorch, Explain!” library.May 29, 20232May 29, 20232
InTDS ArchivebyChris MingardTrain ImageNet without Hyperparameters with Automatic Gradient DescentTowards architecture-aware optimisationApr 19, 2023Apr 19, 2023
InTDS ArchivebyPol MarinGradient Descent Algorithm 101Understand the optimization algorithm widely used in Machine and Deep LearningApr 25, 2023Apr 25, 2023
InTDS ArchivebyMichael BronsteinHyperbolic Deep Reinforcement LearningMany RL problems have hierarchical tree-like nature. Hyperbolic geometry offers a powerful prior for such problems.Apr 30, 20234Apr 30, 20234
InTDS ArchivebyJoseph Robinson, Ph.D.From Basic Gates to Deep Neural Networks: The Definitive Perceptron TutorialDemystifying Mathematics, Binary Classification, and Logic GatesApr 28, 20235Apr 28, 20235
InTDS ArchivebyWei-Meng LeeImplementing Deep Learning Using fastai — Image ClassificationGet a head-start in deep learning quickly and easily without wading through all the detailsApr 19, 2023Apr 19, 2023
InTDS ArchivebyTomaz BratanicImplementing a sales & support agent with LangChainLearn how to develop a chatbot that can answer questions based on the information provided in your company’s documentationApr 19, 20239Apr 19, 20239
Amrit SahuDL Infra Series: CUDA Programming — Part 3Page Tables, Memory Management in CUDA, Asynchronous PrefetchingApr 19, 2023Apr 19, 2023
Amrit SahuDL Infra Series: C++ Concepts — 1Deep dive into infrastructure involved behind DL systemsApr 4, 2023Apr 4, 2023