Reflection 70B, by Matt from IT Department

**Reflection Tuning** technique has been used by a two-person team from **Hyperwrite** and **Glaive** to finetune **llama-3.1-70b**, showing strong performance improvements with minimal synthetic data. The approach builds on the concept of adding `thinking` and `reflection` steps to outputs, related to the **Chain of Thought** method. Despite some criticisms like contamination concerns, worse coding performance, and reliance on system prompts, the model has received positive reception and comparisons to **claude-3.5-sonnet**. The work highlights efficient instruction tuning and synthetic data generation for large models.