AI2 announced the launch of the open language model framework OLMo, which aims to promote the research and development of large-scale language models. OLMo provides comprehensive resources, including training code, model and evaluation code, to facilitate in-depth research by academics and researchers. This will promote new breakthroughs in the field of language models, promote wider cooperation and exchanges, and contribute to the advancement of artificial intelligence technology. The open source nature of OLMo allows researchers around the world to work together to explore the potential of language models and accelerate the application and development of artificial intelligence technology.
AI2 released the open language model framework OLMo, aiming to promote large-scale language model research and experimentation. The framework provides training code, model and evaluation code on Hugging Face and GitHub, allowing academics and researchers to study the science of language models, explore the impact of new pre-training data subsets on downstream performance, and investigate new pre-training method and stability.
The launch of the OLMo framework marks AI2's major progress in promoting language model research. By opening up shared resources, OLMo is expected to accelerate innovation in the field of language models and promote broader academic cooperation, ultimately promoting the progress and development of artificial intelligence technology. We look forward to more exciting research results from OLMo in the future.