We introduce Reka Core, Flash, and Edge, a series of powerful multimodal
language models trained from scratch by Reka. Reka models are able to process
and reason with text, images, video, and audio inputs. This technical report
discusses details of training some of these models and provides comprehensive
evaluation results. We show that Reka Edge and Reka Flash are not only
state-of-the-art but also outperform many much larger models, delivering
outsized values for their respective compute class. Meanwhile, our most capable
and largest model, Reka Core, approaches the best frontier models on both
automatic evaluations and blind human evaluations. On image question answering
benchmarks (e.g. MMMU, VQAv2), Core performs competitively to GPT4-V.
Meanwhile, on multimodal chat, Core ranks as the second most preferred model
under a blind third-party human evaluation setup, outperforming other models
such as Claude 3 Opus. On text benchmarks, Core not only performs competitively
to other frontier models on a set of well-established benchmarks (e.g. MMLU,
GSM8K) but also outperforms GPT4-0613 on human evaluation. On video question
answering (Perception-Test), Core outperforms Gemini Ultra. Models are shipped
in production at this http URL . A showcase of non cherry picked
qualitative examples can also be found at this http URL .

Reka 介绍了 Reka Core、Flash 和 Edge，这是一系列强大的多模态语言模型，通过 Reka 从头开始进行训练。Reka 模型能够处理和推理文本、图像、视频和音频输入。