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, ...
Deterministic vs. non-deterministic AI systems A deterministic system produces the same output every time it receives the same input. When AI is involved, determinism usually comes from how the system ...
Determinism is not just causality. Determinism goes far beyond causality, and certainly much farther than psychological science requires. Many scientific psychologists embrace determinism without ...
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 ...
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 ...
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