ERNIE 5.0 Technical Report (Feb 2026) скачать в хорошем качестве

ERNIE 5.0 Technical Report (Feb 2026)

Title: ERNIE 5.0 Technical Report (Feb 2026) Link: http://arxiv.org/abs/2602.04705v1 Date: February 2026 Summary: ERNIE 5.0 is a trillion-parameter natively autoregressive foundation model designed for unified multimodal understanding and generation across text, image, video, and audio. It utilizes an ultra-sparse Mixture-of-Experts (MoE) architecture with modality-agnostic expert routing. The report introduces an 'elastic training' paradigm that allows a single pre-training run to produce a family of sub-models with varying depths and capacities, and details stable post-training strategies for multimodal reinforcement learning. Key Topics: Multimodal Foundation Model Autoregressive Sequence Modeling Mixture-of-Experts (MoE) Elastic Training Paradigm Modality-Agnostic Expert Routing Unified Multimodal Reinforcement Learning (UMRL) Chapters: 00:00 - Ernie 5.0 Overview 01:25 - Moving Beyond Late Fusion 02:48 - Unified Autoregressive Backbone 04:01 - Modality Agnostic Routing 05:14 - Vision And Bit Flipping 06:43 - Dual Path Visual Hybrid 07:58 - Depth-Wise Audio Modeling 09:22 - Elastic Training Paradigm 10:55 - Flexible Deployment Performance 11:50 - Stable Multimodal RL 13:30 - Improving Training Efficiency 15:04 - High Performance Infrastructure 16:04 - Benchmarks And Future Outlook Stock video credits: Soumya - https://www.pexels.com/@soumya-1446957 Google DeepMind - https://www.pexels.com/@googledeepmind Silviu Din - https://www.pexels.com/@silviu-din-16... José Alfredo Munguía Lira - https://www.pexels.com/@rectorretro Oleg Gamulinskii - https://www.pexels.com/@oleg-gamulins... Pressmaster - https://www.pexels.com/@pressmaster Mikhail Nilov - https://www.pexels.com/@mikhail-nilov tunnel motions - https://www.pexels.com/@tunnelmotions Bedrijfsfilmspecialist.nl - https://www.pexels.com/@bedrijfsfilms... Anthony 🙂 - https://www.pexels.com/@inspiredimages cottonbro studio - https://www.pexels.com/@cottonbro Tiger Lily - https://www.pexels.com/@tiger-lily fauxels - https://www.pexels.com/@fauxels Pavel Danilyuk - https://www.pexels.com/@pavel-danilyuk Pachon in Motion - https://www.pexels.com/@pachon-in-mot... StefWithAnF - https://www.pexels.com/@stefwithanf-1... Dan Cristian Pădureț - https://www.pexels.com/@paduret Pixabay - https://www.pexels.com/@pixabay Kindel Media - https://www.pexels.com/@kindelmedia Ron Lach - https://www.pexels.com/@ron-lach crazy motions - https://www.pexels.com/@crazy-motions... Danil Shostak - https://www.pexels.com/@danil-shostak... Claudiu Ciobanu - https://www.pexels.com/@claudiuciobanu Colors Motion Graphics - https://www.pexels.com/@colors-motion... Colin Jones - https://www.pexels.com/@larchmedia Trippy Lagoon - https://www.pexels.com/@trippy-lagoon... Engin Akyurt - https://www.pexels.com/@enginakyurt Tom Fisk - https://www.pexels.com/@tomfisk Charlie Mounsey - https://www.pexels.com/@charlie-mouns... Kelly - https://www.pexels.com/@kelly Nino Souza - https://www.pexels.com/@ninosouza Stas Knop - https://www.pexels.com/@stasknop Caleb Oquendo - https://www.pexels.com/@caleboquendo Adis Resic - https://www.pexels.com/@adis-resic-29... @svetjekolem - https://www.pexels.com/@svetjekolem Max Fischer - https://www.pexels.com/@max-fischer Julia M Cameron - https://www.pexels.com/@julia-m-cameron Ketut Subiyanto - https://www.pexels.com/@ketut-subiyanto Anete Lusina - https://www.pexels.com/@anete-lusina