High-performance, memory-safe Rust implementation of Hugging Face Transformers. TrustformeRS brings the power of transformer models to the Rust ecosystem with zero-cost abstractions, fearless concu... Read more ›
Using information theory, a team of researchers at Binghamton University has developed a method to solve the popular New York Times puzzle game Wordle with a 99% success rate. Read more ›
You are reading the work-in-progress third edition of the ggplot2 book. This chapter should be readable but is currently undergoing final polishing. Read more ›
Before migrating a distributed database to the cloud, do not start with node count or capacity sizing. Start with the failure model. Decide replication strategy first, then consistency level, then network topology, and only then capacity. A safe migration also needs clear acceptance criteria, a quantitative replication-lag cutover gate, and a tested rollback plan before the maintenance window begins. Capacity is the consequence of architecture, not the starting point. Read more ›
Fine-tuning large language models (LLMs) has become a central application of modern optimization, enabling pretrained models to adapt to diverse downstream tasks and domain-specific data. A major obstacle in large-scale fine-tuning is the memory overhead of backpropagation, which requires storing activations, gradients, and optimizer states. Zeroth-order (ZO) optimization offers a memory-efficient alternative, but its performance is highly sensi... Read more ›
Teaching cellular automata to actually do things Read more ›
Free online mathematics textbook for basic real analysis. Read more ›
Forecastion ProductHow it worksWorkspaces Log inStart forecasting Built for finance & analytics teams # Build powerful forecasts in seconds. Turn raw data into forecasts, scenarios, and shareable models — fast enough for ad hoc analysis, powerful enough for real work. Build your forecast — free Explore the demo Paste data · Compare methods · Export forecasts app.forecastion.com / forecast-lab End of forecast 611 ± 115 (90% CI) Cumulative 35.7K h = 60 periods Forecast avg 596 ... Read more ›
From pretraining to RLHF/GRPO — every algorithm hand-written in pure PyTorch. Read more ›
We increasingly need AI agents to work in domains they never saw during training, like using a new programming library or leveraging the emerging literature around a new disease. Such domains most naturally appear as a corpus of documents, like a textbook on a technical subject or the manual describing a new tool. Read more ›
Learn how to build high-performance FP8 GEMM kernels on AMD CDNA™4 GPUs using MFMA, LDS swizzling, and double-buffering. Read more ›
The official home of the Python Programming Language Read more ›
Pyrefly v1.1 brings faster type checking, new IDE refactoring tools, and usability improvements. Read more ›
1991: T and P of ChatGPT, distillation, deep residual learning, LSTM, GAN Read more ›
to get full episodes, full archive, and join the Discord community. The Transmitter is an online publication that aims to deliver useful information, insights and tools to build bridges across neuroscience and advance research. Visit thetransmitter.org to explore the latest neuroscience news and perspectives, written by journalists and scientists. Read more about . Sign up for to be notified every time a new Brain Inspired episode is released. To explore more neuroscience news and perspective... Read more ›
Install neo-mcp, register NEO with Claude Code, and delegate RAG audits, fine-tunes, evals, and pipeline debugging without leaving the terminal. Read more ›
Functional optimization problems are typically solved by optimizing the parameters of a fixed representation, such as a neural network, resulting in highly nonconvex losses that complicate both training and theoretical analysis. An interesting alternative is functional gradient descent (FGD), that is, gradient descent directly in function space, which benefits from strong convergence results and admits a clean theory. However, FGD is difficult... Read more ›
Anonymous ENPIRE project website for agentic robot policy self-improvement in the real world. Read more ›
Today, Chinese AI startup Z.ai (formerly Zhipu AI) , a 753-billion parameter open-weights large language model (LLM) engineered specifically to dominate "long-horizon" autonomous coding and engineering tasks. Available immediately on , the, and more than 20 third-party coding environments, the model boasts a highly stable 1-million-token context window alongside enterprise subscription tiers starting at just $12.60 per month. In excellent news for cost and security-conscious businesses, z.ai ... Read more ›
Designing rapid transportation routes requires balancing efficiency and reachability. Shortest-path models ensure direct, cost-efficient routes but ignore coverage, while centrality-based approaches maximize accessibility but do not enforce operational constraints. We study the problem of selecting a shortest path that maximizes reachability, measured as the number of nodes within a fixed distance of the path. To do this, we introduce the $k$-St... Read more ›