Alibaba/Qwen

Latest AI news, models and releases from Alibaba/Qwen. ['CodeQwen1.5', 'Cotype Light 3', 'Cotype Pro 3', 'Fun-Realtime-TTS', 'Hanguang', 'Hanguang 800', 'HappyOyster 1.0', 'ICN Switch 1.0', 'not specified', 'Panjiu', 'Qianwen', 'Qoder Security', 'QVQ-72B-Preview', 'QVQ-Max', 'Qwen', 'Qwen 2', 'Qwen2.5', 'Qwen2.5-0.5B', 'Qwen2.5-14B', 'Qwen2.5-14B-Instruct-1M', 'Qwen2.5-1.5B', 'Qwen2.5-32B', 'Qwen2.5-3B', 'Qwen-2.5 72B', 'Qwen2.5-72B', 'Qwen2.5-7B', 'Qwen2.5-7B-Instruct-1M', 'Qwen2.5-Coder', 'Qwen2.5-Coder-0.5B', 'Qwen2.5-Coder-0.5B-Instruct', 'Qwen2.5-Coder-14B', 'Qwen2.5-Coder-1.5B', 'Qwen2.5-Coder-1.5B-Instruct', 'Qwen2.5-Coder-32B', 'Qwen2.5-Coder-32B-Instruct', 'Qwen2.5-Coder-3B', 'Qwen2.5-Coder-3B-Instruct', 'Qwen2.5-Coder-7B', 'Qwen2.5-Coder-7B-Instruct', 'Qwen2.5-Coder-Instruct']

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Research 🇺🇸

State of LLMs in 2025: Progress, Challenges, and Predictions

In 2025, LLM development was dominated by reasoning models using reinforcement learning with verifiable rewards (RLVR) and the GRPO algorithm, sparked by DeepSeek R1. Key trends include a focus on inference-time scaling, MoE architectures, and efficiency tweaks like Gated DeltaNets. Academic research highlighted GRPO variants with improvements such as zero gradient filtering and token-level loss.

DeepSeek

OpenAI

Alibaba/Qwen

Moonshot AI

NVIDIA

Google/DeepMind

Sebastian Raschka27.07 · 17:03

Open Source 🇺🇸

Nous Research releases open-source coding model NousCoder-14B, trained in 4 days on 48 B200 GPUs

Nous Research has released its programming model NousCoder-14B, which outperforms many proprietary systems. The model was trained in 4 days on 48 Nvidia B200 GPUs and achieved 67.87% accuracy on the LiveCodeBench v6 test, 7.08 percentage points higher than Alibaba's base model Qwen3-14B. The release coincides with the buzz around Anthropic's Claude Code tool.

Nous Research

Alibaba/Qwen

Anthropic

VentureBeat AI27.07 · 17:03

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