Skip to content 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 ...
Read more 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 ...
Read more 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 ...
Read more 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 ...
Read more 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 ...
Read more 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 ...
Read more 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 ...
Read more 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 ...
Read more 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. ...
Read more 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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