A TTCT-inspired dataset was constructed to evaluate LLMs under varied prompts and role-play settings. GPT-4 served as the evaluator to score model outputs. In recent years, the realm of artificial ...

NLP and LLM teams often grow their training corpuses to improve model performance but they still do not always obtain ...

Apple researchers have developed an adapted version of the SlowFast-LLaVA model that beats larger models at long-form video analysis and understanding. Here’s what that means. Very basically, when an ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Stanford University’s recent research, conducted in collaboration with Tsinghua University, has revealed a surprising shift in how we evaluate the performance of large language models (LLMs). Rather ...

AI-assisted coding or ‘vibe coding’ is a trend that dominated last year, so much so that it was named word of the year for 2025. Since OpenAI co-founder Andrej Kaparthy coined the term, developers ...

Enabling LLMs to acquire new knowledge after training remains a major hurdle for enterprise AI — current solutions are either too expensive, too slow, or constrained by context window limits. MeMo, a ...

Apple's researchers continue to focus on multimodal LLMs, with studies exploring their use for image generation, understanding, and multi-turn web searches with cropped images. Now, the company is ...

Sprinklr (NYSE: CXM), the definitive, AI-native platform for Unified Customer Experience Management (Unified-CXM), today announced LLM Insights, a new AI-native capability within Sprinklr Insights ...