Many top language models now err on the side of caution, refusing harmless prompts that merely sound risky – an ‘over-refusal' behavior that affects their usefulness in real-world scenarios. A new dataset called ‘FalseReject' targets the problem directly, offering a way to retrain models to respond more intelligently to sensitive topics, without compromising safety. […]<br /> The post Getting Language Models to Open Up on ‘Risky’ Subjects appeared first on Unite.AI. [...]
IBM today announced the release of Granite 4.0, the newest generation of its homemade family of open source large language models (LLMs) designed to balance high performance with lower memory and cost [...]
It's not just Google's Gemini 3, Nano Banana Pro, and Anthropic's Claude Opus 4.5 we have to be thankful for this year around the Thanksgiving holiday here in the U.S.No, today the Germ [...]
How do you follow up a product that has reigned as the king of mirrorless cameras for the last four years? For Sony, the answer with the A1 was simple: just improve everything. The result is the $6,50 [...]
Enterprises looking to move more of their agentic AI workloads to open weights models they can customize, control and run on-premises or in virtual private clouds have a strong new contender to consid [...]
Meta has just released a new multilingual automatic speech recognition (ASR) system supporting 1,600+ languages — dwarfing OpenAI’s open source Whisper model, which supports just 99. Is architectu [...]
For much of 2025, the frontier of open-weight language models has been defined not in Silicon Valley or New York City, but in Beijing and Hangzhou.Chinese research labs including Alibaba's Qwen, [...]