Unverified50% confidenceFactExact time
Event2Vec performs next-event prediction via softmax(W h_t + b), and its history representation is additive.
1
Sources
50%
Confidence
Long-term
Relevance
10/14/2026
First Seen
Sources
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Related Claims
UnverifiedEvent2Vec defines a history h_t as the rolling sum of event vectors: h_t = h_{t-1} + e_{x_t}, with norm clipping performed at each step.73% similarUnverifiedDistilling patterns from massive historical runs into a lightweight model to serve as an external plug-in for LLM decision-making is a more cost-controllable, flexible, and easily iterable bypass enhancement approach compared to retraining or fine-tuning the main large model.59% similarUnverifiedThe core mechanism of large model inference is the continuous prediction of the probability of the next word, converting raw scores into a probability distribution summing to 1 via the Softmax function.57% similarUnverified模型对所有Token计算原始得分Logit后，通过Softmax函数将得分归一化为概率分布，所有Token的概率之和等于156% similarUnverifiedEvent Sourcing is an architectural pattern that models system state as an immutable sequence of events, persisting the fact of every state change, with the current state derived by replaying all historical events in order; its advantages include a complete audit log, the ability to rebuild the state at any point in time, and the ability to fix projections or add new read models through replay, while the cost is that querying the current state requires aggregating events, and it is usually combined with CQRS and materialized views to optimize read performance.55% similar
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