The recent successes of Artificial Intelligence and Machine Learning have been possible only as a consequence of published datasets. Benchmark datasets such as ImageNet (Deng, J. et al., 2009.) have been developed as tools to measure the progress in the field, and have become the quasi-standard. Recently, extremely large data collections, such as The Pile (Gao et al., 2020) and Fineweb2...
BLABLADOR is the experimental large language model server for Helmholtz. It is an open-source inference server optimized for serving predictions from customized scientific large language models (LLMs). It was developed and is operated by Helmholtz AI Jülich to make scientific LLMs more accessible to Helmholtz scientists. BLABLADOR hosts both open-source models and models created within...
We present a multi-agent application for the next-generation Cherenkov Telescope Array Observatory, designed to automate the generation of Pydantic Python models directly from free-text descriptions or structured files. It also explores the use of the multi-agent framework AutoGen, as well as minimal function tools available in new OpenAI interfaces, incorporating a feedback loop to verify and...
