Prior Labs Releases TabPFN-2.5: The Latest Version of TabPFN that Unlocks Scale and Speed for Tabular Foundation Models
noviembre 9, 2025admin NUAI,Committee,Noticias,Uncategorized(0)Tabular data is still where many important models run in production. Finance, healthcare, energy and...
Prime Intellect Releases Verifiers v1: Composable Tasksets, Harnesses, and Runtimes for Agentic RL Training and Evaluations
julio 13, 2026admin NUAI,Committee,Noticias,Uncategorized(0)Prime Intellect launched verifiers 0.2.0. It previews a rewritten core, shipped under the new verifiers.v1...
Prime Intellect Releases prime-rl 0.6.0 to Train Trillion-Parameter MoE Models on Agentic RL Workloads
junio 23, 2026admin NUAI,Committee,Noticias,Uncategorized(0)Prime Intellect has released prime-rl version 0.6.0. The framework targets reinforcement learning on trillion-parameter Mixture-of-Experts...
Prime Intellect Releases Prime Agent: An Open-Source RLM Harness Where Sub-Agents Are Function Calls Inside Persistent IPython Kernel
agosto 6, 2026admin NUAI,Committee,Noticias,Uncategorized(0)Prime Intellect has open-sourced Prime Agent, a self-improving coding harness designed around two abstractions, the...
Pretrain a BERT Model from Scratch
noviembre 26, 2025admin NUAI,Committee,Noticias,Uncategorized(0)This article is divided into three parts; they are: • Creating a BERT Model the...
Preparing Data for BERT Training
noviembre 24, 2025admin NUAI,Committee,Noticias,Uncategorized(0)This article is divided into four parts; they are: • Preparing Documents • Creating Sentence...
Prefix-RFT: A Unified Machine Learning Framework to blend Supervised Fine-Tuning (SFT) and Reinforcement Fine-Tuning (RFT)
agosto 24, 2025admin NUAI,Committee,Noticias,Uncategorized(0)Large language models are typically refined after pretraining using either supervised fine-tuning (SFT) or reinforcement...
Predicting the Performance of Black-box LLMs through Self-Queries
noviembre 19, 2025admin NUAI,Committee,Noticias,Uncategorized(0)arXiv:2501.01558v3 Announce Type: replace-cross Abstract: As large language models (LLMs) are increasingly relied on in...
Precise Attribute Intensity Control in Large Language Models via Targeted Representation Editing
octubre 15, 2025admin NUAI,Committee,Noticias,Uncategorized(0)arXiv:2510.12121v1 Announce Type: cross Abstract: Precise attribute intensity control–generating Large Language Model (LLM) outputs with...
