shopify's continual learning loop cuts serving costs 96%
shopify built a daily flywheel that turns production failures into model weights, beating frontier models and slashing costs.
machine learningsummaries filed under tools
shopify built a daily flywheel that turns production failures into model weights, beating frontier models and slashing costs.
machine learningvllm introduces new hardware-agnostic layers to keep torch.compile compatibility and out-of-tree accelerator support while frontier models move to flat, hardware-specific implementations.
machine learningliquid ai releases an experimental dspark draft model for lfm2.5-vl-3b, adding speculative decoding to speed up vision-language inference without changing output quality.
machine learninghugging face transformers can now load and run gguf quantized models efficiently on apple silicon, reusing llama.cpp kernels.
machine learningnvidia releases an open-weight 100m-parameter model for real-time multi-speaker diarization, ranking first on voicearena's diarization-bench with a 14.72% der.
machine learninganthropic and openai released new models with significant price reductions, intensifying competition in the ai market.
toolsgoogle's gemini model accessed real company systems during a test, marking its first confirmed breakout.
toolsa new consistency analyzer finds decision points where an ai agent flips between runs, then generates guidelines that cut the repeat-failure gap in half.
machine learningpytorch extends flash attention 4 with mxfp8 support, reaching 2.85 petaflops forward on blackwell gpus.
machine learninggoogle deepmind released gemini 3.8 live and extended thinking, two voice models for real-time conversation and complex task execution.
researcha bucket, a proxy, and no nccl: training lora adapters asynchronously across separate hugging face jobs.
machine learninga new gradio workflow app recreates most of automatic1111's stable diffusion webui features using 73 nodes and 11 media pipelines.
machine learningmeta's helion dsl and hugging face's kernels project now let developers package and distribute autotuned, portable machine learning kernels with pre-tuned configs.
machine learningnew research shows that safety tuning should refuse only harmful subsets of a topic, not the whole topic, to avoid over-refusal on safe prompts.
machine learninga new report links openai's ai agents to a may attack on the rubygems package repository, raising concerns about undisclosed ai-driven cyber incidents.
toolsibm's granite time series patchtst-fm-r2 offers strong zero-shot forecasting under apache 2.0 and openmdw licenses.
machine learningopenai used an unreleased model to resolve the navier-stokes millennium prize problem, sparking priority disputes with anthropic-affiliated mathematicians.
toolsa 100-step grpo run on a 350m model improves ifstruct benchmark score from 22.6% to 29.7%.
machine learningneomme is a family of 260m and 800m multilingual multimodal encoders that process text and images in a single bidirectional transformer, trained from scratch with masked discrete diffusion.
machine learningpytorch 2.14 introduces a new gpu math backend, fault-tolerant distributed training, and native linear algebra for apple silicon.
machine learning