Akshita Bhagia, a senior research engineer at the Allen Institute for AI, shares her insights on OLMo, an open-source language model that includes a unique dataset and tools for training. She discusses the innovative Dolma dataset, which boasts a three-trillion-token corpus, and Paloma, a benchmarking tool for evaluating model performance. Throughout the conversation, Akshita emphasizes the importance of data transparency, collaborative research, and the challenges faced in training large-scale models, advocating for a shared knowledge approach in AI development.
