Alibaba has unveiled a new artificial intelligence model that the company says outperforms the capabilities of DeepSeek V3, a leading AI system.
Alibaba's Qwen 2.5 LLM now supports input token limits up to 1 million using Dual Chunk Attention. Two models are released on Hugging Face, requiring significant VRAM for full capacity. Challenges in deployment with quantized GGUF versions and system resource constraints are discussed.
Simon Willison reviews the new Qwen2.5-Coder-32B, an open-source LLM by Alibaba, which performs well on various coding benchmarks and can run on personal devices like his MacBook Pro M2.
Alibaba Cloud has developed a new tool called TAAT that analyzes log file timestamps to improve server fault prediction and detection. The tool, which combines machine learning with timestamp analysis, saw a 10% improvement in fault prediction accuracy.
