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In the realm of immersive experiences in mixed-reality scenarios, generating accurate and plausible full-body avatar motion has been a persistent challenge. Existing solutions relying on Head-Mounted…
Given the success of diffusion models in text-to-image generation, a surge of video generation techniques has emerged, showcasing interesting applications in this realm. Nevertheless, most video…
Exploring Pre-Quantized Large Language ModelsThroughout the last year, we have seen the Wild West of Large Language Models (LLMs). The pace at which new technology and…
Harnessing Deep Learning to Transform Untapped Data into a Strategic Asset for Long-Term Competitiveness.Photo by Nathan Anderson on UnsplashLarge companies generate and collect vast amounts of…
Modern self-driving systems frequently use Large-scale manually annotated datasets to train object detectors to recognize the traffic participants in the picture. Auto-labeling methods that automatically produce…
Image by Author Anthropic’s conversational AI assistant, Claude 2, is the latest version that comes with significant improvements in performance, response length, and availability…
Image by Author Are you an aspiring data professional looking to kickstart your data science career? If so, you’re probably considering various options: online courses,…
Optimizing machine learning models with dynamic shapes can be crucial for achieving better performance and flexibility. Dynamic shapes refer to the ability of a model to…
Understanding the intricate networks in animal brains has been a big challenge for scientists, especially when studying diseases like Alzheimer’s. Traditional methods could have been faster…
To succeed with generative AI at scale, we need to give LLMs the diligence they deserve. Enter RAG and fine tuning.Photo by Volodymyr Hryshchenko on Unsplash.The…