Understanding Active Inference
Lancelot explains how active inference simplifies decision-making processes and enhances explainability in AI systems. Tim raises concerns about the complexity of predictive models but acknowledges the shift towards more interpretable generative models without neural networks.In this clip
From this podcast
Machine Learning Street Talk (MLST)
MULTI AGENT LEARNING - LANCELOT DA COSTA
Related Questions
Why does active inference work?
How is inference used in machine learning, as discussed in the episode Dileep George: Brain-Inspired AI | Lex Fridman Podcast #115 and the clip Graphical Models Explained?
Why are neural networks hard to explain in the episode Demystifying LLMs with Mechanistic Interpretability Researcher Arthur Conmy and the clip Automating AI Interpretability?