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Pedagogical DAGs for Science and Math

Hari Krishna@khkreddy

133 views · 1 likes · 1 replies on X · does not affect score

This project develops Directed Acyclic Graphs (DAGs) for science and math topics in grades 6-12, establishing prerequisite and post-requisite connections between concepts. The JEV mechanism is used to define nodes and concept-grain prerequisites, with edges weighted by JEV noul and strength, and tagged as hard or soft.

Related builds

Jev Judgment Model Evaluation

Jev is a judgment model from TypeSafe AI that provides probabilities and confidence scores for typed questions based on a given state, designed to function as a non-acting governance layer.

Marquise@marquisehurtt

403 views on XJev score 80

Jev Model Asymmetry Analysis

This project analyzes the Jev model's behavior, revealing that natural language wording induces a significant conviction asymmetry between buy and sell sides, while the model itself is symmetric when presented with symmetric prompts.

Dan Holzrichter@dholzric

83 views on XJev score 79

Jev Decision Model Evaluation

Jev, a decision model from TypeSafe, was tested on standard AI problems, answering structured questions with probabilities and performing comparably to or better than other models on single-step tasks, but struggled with sequential reasoning without state information.

Nikhil Deshpande@nikhdesh

94 views on XJev score 76

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Jev: Independent Index for API Pricing

Jev is an independent index that determines the value of an API answer by calculating expected value across a distribution of probabilities, rather than rounding to a fixed tier, enabling fairer and simpler pricing.

Tollstile Lab@tollstile

38 views on XJev score 76