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ML in the Dark: Solo Survival Tactics That Actually Ship

What if unclear goals, not bad data, kill most solo ML projects? This guide arms you with hacks to ship real models on a laptop, no excuses.

Lone developer coding ML model at a dimly lit desk

⚡ Key Takeaways

  • Fix unclear problem definitions before touching data or models. 𝕏
  • Build evaluation harness first to baseline and validate everything. 𝕏
  • Smallest CPU-friendly models deploy fastest and win at scale. 𝕏
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Originally reported by Towards AI

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