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Training a family of large language models (LLMs) has always come with a painful multiplier: every model variant in the...
NVIDIA AI researchers recently released cuda-oxide, an experimental compiler that allows developers to write CUDA SIMT (Single Instruction, Multiple Threads)...
In this tutorial, we explore NadirClaw as an intelligent routing layer that classifies prompts into simple and complex tiers before...
MIT Technology Review Explains: Let our writers untangle the complex, messy world of technology to help you understand what’s coming...
In this tutorial, we perform an advanced single-cell RNA-seq analysis workflow using Scanpy on the PBMC-3k benchmark dataset. We start...
OpenAI has launched a Codex Chrome extension for Mac and PC to streamline browser-based workflows that were previously difficult to...
In the second week of the landmark trial between Elon Musk and OpenAI, Musk’s motivations for bringing the suit were...
If you have spent time using AI coding agents — GitHub Copilot, Claude Code, Gemini CLI — you have probably...
OpenAI released three new audio models through its Realtime API, each targeting a distinct capability in live voice applications: GPT-Realtime-2...
Sakana AI Releases Fugu-Cyber: An Orchestration Model Reporting 86.9% on CyberGym and 72.1% on CTI-REALM
Sakana AI Released ShinkaEvolve: An Open-Source Framework that Evolves Programs for Scientific Discovery with Unprecedented Sample-Efficiency
Sakana AI Launches Sakana Translate, a Namazu-Powered Japanese–English–Chinese Translation Tool With Translate, Proofread, and Ask Modes
Sakana AI Introduces Text-to-LoRA (T2L): A Hypernetwork that Generates Task-Specific LLM Adapters (LoRAs) based on a Text Description of the Task
Sakana AI Introduces KAME: A Tandem Speech-to-Speech Architecture That Injects LLM Knowledge in Real Time
SAIL-RL: Guiding MLLMs in When and How to Think via Dual-Reward RL Tuning
Safety and accuracy follow different scaling laws in clinical large language models
SafeMT: Multi-turn Safety for Multimodal Language Models
Safely Deploying ML Models to Production: Four Controlled Strategies (A/B, Canary, Interleaved, Shadow Testing)
SAEMark: Multi-bit LLM Watermarking with Inference-Time Scaling
Sacred or Synthetic? Evaluating LLM Reliability and Abstention for Religious Questions
