馃敡 EigenAI Tackles LLM's Biggest Problem

馃敡 LLM's Fatal Flaw

By EigenLayer
Nov 6, 2025, 3:16 PM
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Non-determinism is blocking LLM scaling - models giving different answers to identical questions make debugging, testing, and trust impossible.​

EigenAI's solution: deterministic inference

  • Same input = same output, every time
  • Creates foundation for real verifiability
  • Powered by EigenCloud infrastructure

This addresses a core challenge in AI deployment where unpredictable outputs prevent reliable system integration.​

Key benefits:

  • Enables proper debugging workflows
  • Makes testing reproducible
  • Builds trust in AI systems

Try the deterministic inference demo at deterministicinference.​com

Sources

One of the biggest blockers in scaling LLM systems is non-determinism. You can鈥檛 debug, test, or trust models that give different answers to the same question. Deterministic inference changes that, same input, same output, every time. A foundation for real verifiability.

nader dabit
nader dabit
@dabit3

Deterministic inference: getting the exact same output every time you run an LLM with identical inputs. Try it yourself: deterministicinference.com Powered by EigenAI @eigenlayer

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