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2026

Taking the Pulse of Agentic AI from the Developer Community at the End of Q1 2026
Ming-Omni-TTS: 一种简单高效、可精确控制的语音、音乐和声音统一生成模型

2025

The Community Stories of vLLM and SGLang
Ming-flash-omni-Preview，千亿参数 MoE，洞察与创造一体的全模态
Open Source LLM Development Landscape 2.0: 2025 Revisited
Ming-UniAudio: 用于统一表征的联合理解、生成和编辑的语音语言大模型
Ming-UniVision：在连续的视觉世界里，统一理解与生成
编辑式图像分割：Ming-lite-omni 1.5 破解AI“左右互搏”的隐藏催化剂
欢迎我们的新成员—Ring-lite！它推理更有深度，能力更均衡
Ming-lite-omni v1.5：全能模型再升级，效果与体验双优化
M2-Reasoning: 赋予多模态大语言模型统一的通用与空间推理能力
ABench: An Evolving Open-Source Benchmark
AWorld：为智能体自我演进提供运行环境
Open Source LLM Development 2025: Landscape, Trends and Insights
Ming-Omni：一个用于感知与生成的统一多模态模型
Ling: A MoE LLM Provided and Open-sourced by InclusionAI
Ming-Lite-Uni：自然多模态交互统一架构的进展
Ming-Lite-Omni-Preview: MOE架构的多模态大模型
Agentic Learning
AReaL: Ant Reasoning Reinforcement Learning for LLMs
In RL we trust — AReaL v0.2 (Boba) Release
PromptCoT & PromptCoT-Mamba: Advancing the Frontiers of Reasoning
Ring: A Reasoning MoE LLM Provided and Open-sourced by InclusionAI

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