In LLM inference, the same prompt may yield different outputs across different runs. At the system level, this non-determinism arises from floating-point non-associativity combined with dynamic ...

We haven't exactly worked out all of AI's kinks yet. Just try asking ChatGPT to solve a basic math problem or tell you how many R's are in "strawberry." You'll get a different, probably unhinged, ...

I am a Senior Member of Technical Staff at Salesforce, where I build AI-driven enterprise solutions that integrate LLM. I am a Senior Member of Technical Staff at Salesforce, where I build AI-driven ...

The International Auditing and Assurance Standards Board has decided to pursue non-authoritative guidance for now addressing some of the practical difficulties of applying its current standards to ...

EigenAI achieves 100% reproducible LLM outputs on GPUs with under 2% overhead, enabling verifiable autonomous AI agents for trading and prediction markets. EigenCloud has released its EigenAI platform ...

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Abstract: Some commonly used methods have nondeterministicspecifications, e.g., iterating through a set canreturn the elements in any order. However, non-deterministicspecifications typically have ...

Submodular maximization is a significant area of interest in combinatorial optimization, with numerous real-world applications. A research team led by Xiaoming SUN from the State Key Lab of Processors ...