ข่าว
Stopping Computation for Converged Tokens in Masked Diffusion-LM Decoding
arXiv:2602.06412v1 Announce Type: new Abstract: Masked Diffusion Language Models generate sequences via iterative sampling that...
Stop guessing why your LLMs break: Anthropic’s new tool shows you exactly what goes wrong
Anthropic’s open-source circuit tracing tool can help developers debug, optimize, and control AI for reliable...
Stop counting tokens, start counting what ships
When a developer gives an AI agent a coding task, the agent does more than...
StepFun Releases Step 3.7 Flash: A 198B MoE Vision-Language Model for Coding Agents and Search Workflows
StepFun today released Step 3.7 Flash, a multimodal Mixture-of-Experts model targeting agentic use cases. It...
StepFun AI Releases Step-Audio-R1: A New Audio LLM that Finally Benefits from Test Time Compute Scaling
Why do current audio AI models often perform worse when they generate longer reasoning instead...
StepFun AI Releases Step-Audio 2 Mini: An Open-Source 8B Speech-to-Speech AI Model that Surpasses GPT-4o-Audio
The StepFun AI team has released Step-Audio 2 Mini, an 8B parameter speech-to-speech large audio...
STEPER: Step-wise Knowledge Distillation for Enhancing Reasoning Ability in Multi-Step Retrieval-Augmented Language Models
arXiv:2510.07923v1 Announce Type: new Abstract: Answering complex real-world questions requires step-by-step retrieval and integration of...
Step-level Verifier-guided Hybrid Test-Time Scaling for Large Language Models
arXiv:2507.15512v3 Announce Type: replace Abstract: Test-Time Scaling (TTS) is a promising approach to progressively elicit...
Step by Step Guide to Build an End-to-End Model Optimization Pipeline with NVIDIA Model Optimizer Using FastNAS Pruning and Fine-Tuning
In this tutorial, we build a complete end-to-end pipeline using NVIDIA Model Optimizer to train...
Steering Language Models with Weight Arithmetic
arXiv:2511.05408v1 Announce Type: new Abstract: Providing high-quality feedback to Large Language Models (LLMs) on a...
Static vs. Dynamic vs. Continuous Batching in LLM Inference
In this article, you will learn how static, dynamic, and continuous batching work in LLM...
Static vs. Dynamic vs. Continuous Batching in LLM Inference
In this article, you will learn how static, dynamic, and continuous batching work in LLM...
