high-dimensional multi-component ica phase structure
mean-field theory reveals initialization-driven competition and decoupling regimes in online independent component analysis.
aitag data science
summaries filed under data science
build an ai lms with ollama, fastapi, and react
a step-by-step guide to creating a learning management system that adapts to each learner using local ai models.
aihow attention helps signal recovery in sequence models
a random matrix analysis reveals how attention weights affect signal detection in high-dimensional sequence representations.
aikernel selection as model selection for two-sample tests
a new method treats kernel choice in mmd tests as a model selection problem, using a complexity penalty to avoid overfitting and scale to deep kernels.
aismarter json alternative for llm pipelines
toon reduces token waste in llm prompts by compacting repeated json structure into a tabular format.
aibuild vector search from scratch in python
a step-by-step guide to creating a vector search engine using only numpy, covering embeddings, normalization, cosine similarity, and visualization.
aidaily brief: 2026-05-11
hugging face fights benchmark gaming, reasoning models show more bias with longer thinking, and google deepmind's alphaevolve scales algorithm design across fields.
aimore thinking, more bias: length-driven position bias in reasoning models
a study finds that longer chain-of-thought reasoning in ai models correlates with increased position bias in multiple-choice questions, challenging the assumption that more thinking reduces shallow biases.
ai newsadding benchmaxxer repellant to the open asr leaderboard
hugging face adds private speech datasets to its asr leaderboard to reduce benchmark gaming and provide a more realistic view of model performance across accents and speaking styles.
ai newsvllm v0 to v1: correctness before corrections in rl
migrating from vllm v0 to v1 for online reinforcement learning required fixing logprob semantics, runtime defaults, weight updates, and fp32 head precision to match training dynamics.
ai newslkv trims llm memory with learned cache budgets
a new method learns optimal key-value cache compression directly from task objectives, improving long-context llm efficiency without heuristic rules.
ai newsratequant tunes kv cache precision for llms
a new method allocates different bit-widths to attention heads in kv cache quantization, avoiding distortion model mismatch to improve large language model serving efficiency.
ai newsemo: pretraining mixture of experts for emergent modularity
emo is a mixture-of-experts model trained so that experts self-organize into task-specific groups, allowing strong performance with only a small subset of experts.
ai newsalphaevolve brings gemini into algorithm design
google deepmind's alphaevolve, a gemini-powered coding agent, is now optimizing algorithms across genomics, grid optimization, quantum physics, and commercial applications, showing broad real-world impact.
ai news