Transformers (and Attention) are Just Fancy Addition Machines

is a relatively new sub-field in AI, focused on understanding how neural networks function by reverse-engineering their internal mechanisms and ...
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Google DeepMind’s new AI can help historians understand ancient Latin inscriptions

To do this, Aeneas takes in partial transcriptions of an inscription alongside a scanned image of it. Using these, it ...
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Gain a Better Understanding of Computer Vision: Dynamic SOLO (SOLOv2) with TensorFlow

https://github.com/syrax90/dynamic-solov2-tensorflow2 – Source code of the project described in the article. Disclaimer ⚠️ First of all, note that this project ...
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Scene Understanding in Action: Real-World Validation of Multimodal AI Integration

of this series on multimodal AI systems, we’ve moved from a broad overview into the technical details that drive the ...
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The Crucial Role of NUMA Awareness in High-Performance Deep Learning

world of deep learning training, the role of the ML developer can be likened to that of the conductor of ...
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How to Fine-Tune Small Language Models to Think with Reinforcement Learning

in fashion. DeepSeek-R1, Gemini-2.5-Pro, OpenAI’s O-series models, Anthropic’s Claude, Magistral, and Qwen3 — there is a new one every month. ...
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Pipelining AI/ML Training Workloads with CUDA Streams

ninth in our series on performance profiling and optimization in PyTorch aimed at emphasizing the critical role of performance analysis and optimization ...
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Beyond Model Stacking: The Architecture Principles That Make Multimodal AI Systems Work

1. It with a Vision While rewatching Iron Man, I found myself captivated by how deeply JARVIS could understand a ...
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Why Open Source is No Longer Optional — And How to Make it Work for Your Business

DeepSeek’s flagship chatbot took the world by storm at the beginning of this year. Its meteoric rise to the top ...
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