How to Benchmark LLMs – ARC AGI 3

[ad_1] the last few weeks, we have seen the release of powerful LLMs such as Qwen 3 MoE, Kimi K2, ...
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Transformers (and Attention) are Just Fancy Addition Machines

[ad_1] is a relatively new sub-field in AI, focused on understanding how neural networks function by reverse-engineering their internal mechanisms ...
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Google DeepMind’s new AI can help historians understand ancient Latin inscriptions

[ad_1] To do this, Aeneas takes in partial transcriptions of an inscription alongside a scanned image of it. Using these, ...
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Gain a Better Understanding of Computer Vision: Dynamic SOLO (SOLOv2) with TensorFlow

[ad_1] https://github.com/syrax90/dynamic-solov2-tensorflow2 – Source code of the project described in the article. Disclaimer ⚠️ First of all, note that this ...
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Scene Understanding in Action: Real-World Validation of Multimodal AI Integration

[ad_1] of this series on multimodal AI systems, we’ve moved from a broad overview into the technical details that drive ...
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The Crucial Role of NUMA Awareness in High-Performance Deep Learning

[ad_1] world of deep learning training, the role of the ML developer can be likened to that of the conductor ...
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How to Fine-Tune Small Language Models to Think with Reinforcement Learning

[ad_1] 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 ...
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Pipelining AI/ML Training Workloads with CUDA Streams

[ad_1] ninth in our series on performance profiling and optimization in PyTorch aimed at emphasizing the critical role of performance analysis and ...
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Beyond Model Stacking: The Architecture Principles That Make Multimodal AI Systems Work

[ad_1] 1. It with a Vision While rewatching Iron Man, I found myself captivated by how deeply JARVIS could understand ...
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