The Post-Transformer Era

Actionable Guidance for Practitioners

If You’re a Startup (Tactical Playbook)

Month 1–2: Prototype with Open-Source Mamba

• Use state-spaces/mamba-2.8b for Proof-of-Concept: Start by leveraging the open-source version of Mamba available in repositories like state-spaces/mamba-2.8b. This will help you quickly get a feel for how SSMs work and their potential benefits.

• Test on Your Specific Use Case (Don’t Trust Benchmarks): While benchmarks can provide initial insights, they may not reflect the performance of your specific application. Focus on testing Mamba with real-world data relevant to your startup's needs.

• Measure:

  • Latency: How fast does the model respond?
  • Accuracy: Does it perform as well or better than traditional models for your use case?
  • Cost per Query: Evaluate the cost efficiency compared to existing solutions.

Month 3–4: Build Hybrid Pipeline

• Hybrid Inference Function: Develop a hybrid inference pipeline that leverages both SSMs and sparse attention mechanisms. This approach can help address some of Mamba

Read the full article at Towards AI - Medium

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