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A new method translates programming logic into natural language to boost problem-solving flexibility. Large language models have become adept at narrow tasks like solving math problems or writing code snippets. But when it comes to flexible, cross-domain reasoning—connecting logical dots between scientific concepts or untangling multi-step real-world puzzles—their

Large language models can draft emails, summarize meetings, and even tell a decent joke. But ask one to untangle a thorny supply chain problem or debug a complex algorithm, and it might flounder—or worse, confidently spit out a plausible-sounding fiction. A new study reveals how two key upgrades—structured

A new tool from Microsoft aims to give AI models better “eyes” for navigating the messy world of graphical interfaces—without peeking under the hood. Released this week on Hugging Face and GitHub, OmniParser V2 converts screenshots of apps or websites into structured data that AI agents can parse. The

Edited Feb 16, 2025 Hugging Face-led collaboration proves smaller models can punch above their weight with specialized training. A coalition of AI researchers has pulled back the curtain on OpenR1-Qwen-7B—an open-weights language model that replicates the mathematical prowess of China’s cutting-edge DeepSeek-R1 through collaborative engineering. The project demonstrates

Edited Feb 16, 2025 A new open-source language model is turning heads not for its size, but for what it achieves without the computational heft of its predecessors. DeepScaleR-1.5B-Preview, a 1.5-billion-parameter model developed by the Agentica Project, claims to outperform OpenAI’s proprietary O1-Preview in specialized reasoning tasks—