Mengliu ZhaoinTowards Data ScienceA Walkthrough of Nvidia’s Latest Multi-Modal LLM FamilyFrom LLaVA, Flamingo, to NVLM1d ago
Francesco FrancoinThe Deep HubConvolutional Neural Networks for Computer VisionMachine learning (and consequently deep learning) can be used to train computers to see things. We know that machine learning is about…6d ago3
SciforceinSciforceStep-by-Step Guide to Creating Your Own Large Language ModelLarge Language Models (LLMs) are transforming AI by enabling computers to generate and understand human-like text, making them essential…Sep 59Sep 59
Sid PadmanabhuniMulti-Layer Perceptron Regression“MLP” (Multi-Layer Perceptron) is not to be confused with “NLP”, which refers to natural language processing. — Wiki21h ago21h ago
Valerii StartsevinTowards AIAre Diffusion Models Really Superior to GANs on Image Super Resolution?The Battle of Image Super Resolution: GANs vs. Diffusion ModelsSep 192Sep 192
Mengliu ZhaoinTowards Data ScienceA Walkthrough of Nvidia’s Latest Multi-Modal LLM FamilyFrom LLaVA, Flamingo, to NVLM1d ago
Francesco FrancoinThe Deep HubConvolutional Neural Networks for Computer VisionMachine learning (and consequently deep learning) can be used to train computers to see things. We know that machine learning is about…6d ago3
SciforceinSciforceStep-by-Step Guide to Creating Your Own Large Language ModelLarge Language Models (LLMs) are transforming AI by enabling computers to generate and understand human-like text, making them essential…Sep 59
Sid PadmanabhuniMulti-Layer Perceptron Regression“MLP” (Multi-Layer Perceptron) is not to be confused with “NLP”, which refers to natural language processing. — Wiki21h ago
Valerii StartsevinTowards AIAre Diffusion Models Really Superior to GANs on Image Super Resolution?The Battle of Image Super Resolution: GANs vs. Diffusion ModelsSep 192
Rodrigo NaderinTowards Data SciencePrompt Caching in LLMs: IntuitionA brief tour of how caching works in attention-based models6d ago1
Nikos KafritsasinTowards Data ScienceForecasting with NHiTs: Uniting Deep Learning + Signal Processing Theory for Superior AccuracyA high-performance DL model for all forecasting cases1d ago
Muhammad ArdiinTowards Data SciencePaper Walkthrough: U-NetA PyTorch implementation on one of the most popular semantic segmentation models.Sep 203