…We evaluate the approach on TheStackV2 and show that it remains accurate while scaling efficiently. Overall, we show that provenance tracking for generated code can be made practical for real-world LLM…
…Recognition, Reasoning, and Judging, providing a testbed to evaluate and improve MLLM understanding on real-world mechanical drawings. On top of MechVQA, we then develop the MechVL model through a multi-stage…
…remain effective in dynamic real-world environments. While Low-Rank Adaptation (LoRA) is widely used for such memory updates, existing studies mainly rely on qualitative downstream evaluations, leaving the quantitative capacity limits…
…large fraction of real-world harm comes from N-days: vulnerabilities that have already been publicly disclosed, but only patched on some devices. In this post, we evaluate how much large language…
…other real-world time series. This helps TimesFM understand the bigger picture and generalize better when provided with domain-specific contexts not seen during training. Zero-shot evaluation results We evaluate TimesFM…
…from Model Metrics to Real-World Performance The agentic AI stack has evolved to fast multi-model orchestration, tool-augmented reasoning, and long-running inference chains. The hardware conversation hasn't kept…
…through our extensive evaluations. Not only does VideoPrism consistently outperform strong baselines, but its unique ability to generalize positions it well for tackling an array of real-world applications. Because of its…
…ambiguities in societal regulations to discover loopholes that bypass regulatory intent, posing safety risks for real-world deployment. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Reinforcement learning (RL) has become a…
By Julien Simon Chief Evangelist Hugging Face Large language models (LLMs) are taking the machine learning world by storm. Thanks to their Transformer architecture, LLMs have an uncanny ability to learn from…
…It’s engineered for real-world agentic workloads, supporting 128k token contexts and optimized performance on a single GPU with open weights and documentation for enterprise adaptation. Small models don’t outperform…