Acing AI — AI education, tutorials, research and datasets for data scientists
The LLM Evaluation Crisis: Contamination, Saturation, and the Judge Problem
LLM evaluation is breaking down: benchmark saturation, contamination, and biased LLM-as-a-judge setups make leaderboard numbers misleading. Here is what to measure instead.
Latest Intelligence
Curated technical papers and hands-on implementation guides for the modern AI engineer.
Optimizing CUDA Kernels for Generative Adversarial Networks
Learn to optimize CUDA kernels for GAN training: memory coalescing, occupancy tuning, mixed-precision training, custom fused kernels, Triton compiler, and profiling with Nsight. Practical code included.
Neural Symbiosis: The Path to AGI via Recurrent Feedback Loops
Explore how self-correcting AI architectures using RLHF, GRPO, constitutional AI, and self-play feedback loops are driving progress toward AGI through recursive self-improvement.
ArticleArchitecting the Sentient Web: How AI Agents Are Reshaping the Internet
TutorialFine-Tuning Transformer Models with Low-Rank Adaptation (LoRA)
ArticleReading the Model: Qwen-Scope, Natural Language Autoencoders, and the Pivot to Useful LLM Interpretability
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High-fidelity training sets for natural language processing and computer vision.
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