Update on Reflection-70B

Sahil Chaudhary of Glaive elaborates on the issues faced after the launch of Reflection-70B, a fine-tuned AI model based on Llama 3.1 70B. The model, trained with Glaive generated data, failed to meet reproducibility of benchmarks, causing miscommunication within the AI community. Sahil provides a detailed postmortem sharing the tools necessary to reproduce model benchmarks and stresses the importance of responsibility for the mistakes made during the rushed launch, which led to a significant amount of confusion and criticism.

• Reflection-70B is a fine-tuned model based on Llama 3.1 70B.
• Model faced reproducibility issues with benchmarks.
• Glaive released resources to reproduce benchmarks.
• There was a rush to launch, leading to unverified results.
• The project aimed to improve model error identification.