21 Models in a Pipeline: The Grubby Reality Behind Knowledge Graph Quality
Legal text chews up massive LLMs. But cram 21 models into a pipeline? Suddenly, knowledge graph quality soars—with a fraction of the compute. Here's the cynical breakdown.
⚡ Key Takeaways
- 21-model pipelines outperform single giant LLMs for knowledge graph quality, especially on structured text like legal docs. 𝕏
- MoE architectures enable smaller models to punch above their weight via expert routing. 𝕏
- Real winners: graph DB vendors and enterprise toolmakers, not pure AI hype chasers. 𝕏
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Originally reported by Towards AI