Approach to automatic generation of prompts for generative AI
Generative AI and prompts
Generative AI refers to artificial intelligence technologies that generate new con...
Overview of Advantage Learning and examples of algorithms and implementations
Overview of Advantage Learning
Advantage Learning is an enhanced version of Q-learning described in ‘Overvi...
Overview and implementation examples of multi-agent systems using graph neural networks.
Overview of multi-agent systems using graph neural networks
Multi-agent systems using graph neural network...
Overview of Real-Time Constraint Modification and examples of algorithms and implementations.
Overview of Real-Time Constraint Modification
Real-Time Constraint Modification (Real-Time Constraint Modific...
Temporal Fusion Transformer overview, algorithms and implementation examples.
Overview of Temporal Fusion Transformer
The Temporal Fusion Transformer (TFT) is a deep learning model d...
Overview, algorithms and implementation examples of position bias-corrected ranking.
Overview of position bias-corrected rankings.
Position bias-corrected ranking is a method of creating rankings...
Sound, rhythm, melody and UX
Rhythm and melody and the autonomic nervous system
As discussed in ‘Emotions, the autonomic nervous system an...
Considerations for causal Inference and strong AI
Cause and effect cannot be derived from data alone
‘The Book of Why: The New Science of Cause and Ef...
Overview of the policy gradient method and examples of algorithms and implementations
Overview of the policy gradient method
The Policy Gradient Method is one of the methods in Reinforcement Le...
Overview of R-GCN and examples of algorithms and implementations
Overview of R-GCN
R-GCN (Relational Graph Convolutional Network) is a type of neural network that performs...