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Blog Posts

Developing Models and Datasets To Understand AI Progress

At ArtifactAI, we recognize the critical role of resources like ArXiv in shaping the future of Artificial Intelligence. By closely monitoring and contributing to this expansive repository of scientific knowledge, we stay at the forefront of machine learning advancements, essential for accurate and informed AI forecasting.

Introducing the "ArXiv BEIR" Dataset: Advancing RAG Systems

We're excited to introduce the "ArXiv BEIR" dataset, inspired by BEIR benchmarks, which focuses on ArXiv abstracts. This dataset is tailored to support the development of Retrieval-Augmented Generation (RAG) systems in a straightforward and practical manner

Introducing the New "ArXiv Math Instruct-50k" Dataset by ArtifactAI

Introducing the New "ArXiv Math Instruct-50k" Dataset by ArtifactAI: Enriching Mathematical Learning
Mathematics and artificial intelligence often intersect, creating opportunities for new learning and research. We're excited to announce the release of our latest creation, the "ArXiv Math Instruct-50k" dataset, developed by ArtifactAI. This dataset offers question-answer pairs from ArXiv abstracts, spanning various mathematical categories, aiming to support learning, research, and innovation in mathematics.

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