Everything I Studied to Become a Machine Learning Engineer (No CS Background)
learning was hard. There were many courses, books and resources I used along the way that helped me, but being ...
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Mastering NLP with spaCy – Part 2
in a sentence provide a lot of information, such as what they mean in the real world, how they connect ...
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How to Benchmark LLMs – ARC AGI 3
the last few weeks, we have seen the release of powerful LLMs such as Qwen 3 MoE, Kimi K2, and ...
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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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The Age of Self-Evolving AI Is Here
1. Introduction In one of my previous articles, we explored Google’s Titans (Behrouz et al., 2024)1 and how TTT (Test-Time ...
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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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