Large language models are increasingly becoming a cornerstone technology in artificial
intelligence, the sciences, and society as a whole, yet the optimal strategies for dataset …

In recent years, foundation models (FMs) such as large language models (LLMs) and latent
diffusion models (LDMs) have profoundly impacted diverse sectors, including music. This …

Large language models (LLMs) for code have become indispensable in various domains,
including code generation, reasoning tasks and agent systems. While open-access code …

Retrieval-augmented generation (RAG) is an effective technique that enables large
language models (LLMs) to utilize external knowledge sources for generation. However …

In recent years, Large Language Models (LLMs) have demonstrated remarkable capabilities
in various tasks (eg, long-context understanding), and many benchmarks have been …

The salient multimodal capabilities and interactive experience of GPT-4o highlight its critical
role in practical applications, yet it lacks a high-performing open-source counterpart. In this …

Despite the advanced intelligence abilities of large language models (LLMs) in various
applications, they still face significant computational and storage demands. Knowledge …

Recent advancements in Large Language Models (LLMs) have markedly enhanced the
interpretation and processing of tabular data, introducing previously unimaginable …

We present OLMo 2, the next generation of our fully open language models. OLMo 2
includes dense autoregressive models with improved architecture and training recipe …

Believable agents can empower interactive applications ranging from immersive
environments to rehearsal spaces for interpersonal communication. Recently, generative …