Focusing on Post-Training
Why I'd invest in post-training existing open-weight LLMs, with Fireworks' Ember-1 as an example of more token-efficient reasoning.
Sebastian Raschka2 min read
2 stories
Why I'd invest in post-training existing open-weight LLMs, with Fireworks' Ember-1 as an example of more token-efficient reasoning.
A closer look at VibeThinker-3B, a Qwen2.5-Coder-based model whose reported reasoning gains come from a detailed post-training pipeline.
Showing 2 of 2 stories
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