Unverified50% confidenceFactExact time
At runtime, NDD automatically resolves inter-column dependencies, schedules calls to user-defined model endpoints, and retries failed requests.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/17/2026
First Seen
Valid until: 12/16/2026
Sources
Related Entities
Related Claims
UnverifiedNDD's inter-column dependency resolution essentially constructs a directed acyclic graph (DAG) from which it infers which columns can be generated in parallel and which must wait for upstream columns to complete.75% similarUnverifiedTraditional autoregressive methods require N forward passes to generate N tokens, whereas speculative decoding consolidates multiple calls into one through batch verification.68% similarUnverifiedTraditional DevOps practices are built on the assumption of deterministic application behavior—that is, the same input produces the same output, failures are reproducible, and behavior is predictable.67% similarUnverifiedDAGs dynamically generated by an LLM at runtime may contain unreasonable dependency relationships or omit necessary steps, so a validation layer must be added before execution.65% similarUnverified用户的点赞、纠错、重试、改写等行为本质上是隐式偏好信号，能持续校准模型的输出分布64% similar
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