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Just tried the new LLaMA-4 70B fine-tuned on synthetic reasoning data - the CoT improvements are impressive

Analyzing how synthetic reasoning data enhances chain-of-thought capabilities

The latest LLaMA-4 70B variant fine-tuned on procedurally generated reasoning datasets shows remarkable improvements in multi-step problem solving. I want to discuss whether this approach scales better than human-annotated data and what it means for future model training pipelines.