Let’s face it, AI is forbidden to be praised or used in pretty much any online community outside of AI-focused sites without mass anger and vitriol in said communities. the same old strawman takes and insults show up pretty much every time someone posts an ai-generated image/video on other subreddits. They always say that AI …
The idea of building your own AI agent used to feel like something only big tech companies could pull off.
Recurrent Neural Networks (RNNs) are naturally suited to efficient inference, requiring far less memory and compute than attention-based architectures, but the sequential nature of their computation has historically made it impractical to scale up RNNs to billions of parameters. A new advancement from Apple researchers makes RNN training dramatically more efficient — enabling large-scale training …
Read more “ParaRNN: Large-Scale Nonlinear RNNs, Trainable in Parallel”
Imagine the following scenario: You’re leading marketing campaigns, creating content, or driving demand generation. Your campaigns are scattered and your insights are buried. By the time you’ve pieced together what’s working, the moment to act has already passed. This isn’t a tools problem because you have plenty of those. It’s a connection problem. Your marketing …
Read more “Amazon Quick for marketing: From scattered data to strategic action”
The master sergeant allegedly used classified intel to profit on the capture of Venezuelan president Nicolás Maduro, marking the first US arrest for insider trading on a prediction market.
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FastAPI has become one of the most popular ways to serve machine learning models because it is lightweight, fast, and easy to use.
Apple is advancing AI and ML with fundamental research, much of which is shared through publications and engagement at conferences in order to accelerate progress in this important field and support the broader community. This week, the Fourteenth International Conference on Learning Representations (ICLR) will be held in Rio de Janeiro, Brazil, and Apple is …
Frontend Engineering at Palantir: Building Multilingual Collaboration About this SeriesFrontend engineering at Palantir goes far beyond building standard web apps. Our engineers design interfaces for mission-critical decision-making, build operational applications that translate insight to action, and create systems that handle massive datasets — thinking not just about what the user needs, but what they need when the …
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Many organizations are archiving large media libraries, analyzing contact center recordings, preparing training data for AI, or processing on-demand video for subtitles. When data volumes grow significantly, managed automatic speech recognition (ASR) service costs can quickly become the primary constraint on scalability. To address this cost-scalability challenge, we use the NVIDIA Parakeet-TDT-0.6B-v3 model, deployed through …
Read more “Cost-effective multilingual audio transcription at scale with Parakeet-TDT and AWS Batch”