Ranked from CortexLab’s local platform index and published content.
Transformer
Uses attention to model relationships between tokens without recurrent state.
Transformers
Build sequence models around attention, residual paths and position information.
Attention
Let a model dynamically weight which context elements matter for each representation.
Deep Learning Systems
Understand neural networks from optimization to deployment and monitoring.
Neural Intent Router
A planned small neural classifier that will replace parts of the rule router using locally trained examples while retaining deterministic fallbacks.
Multilayer Perceptron
A stack of learned affine transformations and nonlinearities that approximates complex functions.
Markov Decision Process
A formal model of states, actions, transition probabilities, rewards and discounting.
Adaptive Interview Coach
A technical interview engine that samples from large domain banks, adapts difficulty, tracks weak concepts and schedules targeted review.