Model Releases
Ai2 releases Olmo-core 3 to make developing large mixture-of-experts LLMs more efficient
Seattle-based artificial intelligence research firm Allen Institute for AI announced a development framework for large language models Thursday that significantly improves how mixture-of-experts large
Seattle-based artificial intelligence research firm Allen Institute for AI announced a development framework for large language models Thursday that significantly improves how mixture-of-experts large language models are trained. The new framework, Olmo-core 3, allows MoE training to reach the trillion-parameter scale while keeping costs low by preserving computational efficiency. Mixture-of-experts models operate differently from dense […] The post Ai2 releases Olmo-core 3 to make developing large mixture-of-experts LLMs more efficient appeared first on SiliconANGLE.
Related
- HiVe: Beyond Static Prompts for Multitask Learning via Hierarchy-based Vertical Mixture-of-Experts
- Task-Aware Federated Fine-Tuning for MoE-based Large Language Models
- CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging
Source: SiliconANGLE | 2026-10-02