Comprehensive Python API for Google NotebookLM. Full programmatic access to NotebookLM's featuresβ€”including capabilities the web UI doesn't exposeβ€”from Python or the command line. πŸ“š Research ...
Abstract: Test Input Generators (TIGs) are crucial to assess the ability of Deep Learning (DL) image classifiers to provide correct predictions for inputs beyond their training and test sets. Recent ...
Abstract: Modern diffusion-based image generative models have made significant progress and become promising to enrich training data for the object detection task. However, the generation quality and ...
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”‚ Data Sources β”‚ (CRM, ERP Systems) β””β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β”‚ β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”‚ Bronze Layer β”‚ Raw ...
The last time we did comparative tests of AI models from OpenAI and Google at Ars was in late 2023, when Google’s offering was still called Bard. In the roughly two years since, a lot has happened in ...