This important work introduces an integrated open-source platform for behavioral acquisition and pose estimation that substantially improves the accessibility and speed of real-time animal tracking ...
The core challenge of integrating Large Language Models (LLMs) into production enterprise software lies in bridging the gap between the probabilistic nature of neural text generation and the strictly ...
Our system did one thing, and it did it well: It turned natural-language questions into API calls. The users were analysts, account managers, and operations leads. They knew what data they needed, but ...
Runs on Python 3.9 to 3.14 on Windows, Linux and MacOS. We recommend Python 3.10 for the best compatibility with plugins such as SAM autolabeling. Run python example_coco.py and open the printed URL ...
In this work, we propose a data selection strategy in order to improve the effectiveness and efficiency of training for code-based LLMs. By prioritizing data complexity and ensuring that the sampled ...
Semantic Kernel Semantic Kernel is Microsoft's open-source SDK for connecting large language models to existing application code and organizational data. It has official support for C#, Python, and ...
We asked four AI models to independently review the full specifications for JSON, TOON, and GCF. Questions covered nested data handling, round-trip fidelity, graph encoding at 500+ symbols, spec rigor ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results