Hi internet friends, I recorded a workshop about building your own LLM without any math / ML prerequisites.

10 legit ways to access major AI models (GPT, Claude, Llama, DeepSeek & more) for FREE — step-by-step guides, no subscription, no card.

LLM reasoning transparency is a critical affordance for understanding model decisions, mitigating misuse and misalignment, and debugging surprising model behaviors.

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Suppose you’re a PhD advisor in machine learning. Your student has been in the program for 4 years, has done solid work, and has a coherent thesis direction but they haven’t published in an A*ML...

A paper currently trending on paperswithcode.co in the "Anomaly Detection" category is DVD-JEPA. https://i.redd.it/r6fd8n3d4f8h1.gif Here is the short summary: Most attempts to learn a world model...

End-to-end agentic quantum-ML pipeline: PennyLane GPU quantum-kernel anomaly detection + LangGraph multi-agent system + locally-hosted Qwen3-14B, benchmarked across network-intrusion, LHC physics, and

Sıfırdan ileri seviyeye Deep Learning yol haritası. 11 modül: PDF + Python + Jupyter Notebook. NumPy · TensorFlow · PyTorch karşılaştırmalı implementasyonlar.

Generative recommendation is an emerging paradigm that has shown promise in industrial recommendation systems, aiming to predict users' next interactions from their historical...

Calibration aligns a model's predictive uncertainty with the frequencies of its empirical outcomes and is important for understanding and trusting reported probabilities.