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#30: Language Models, Active Inference and Latent Variables with Alejandro Daniel Noel
In this episode, our host Manuel Brenner is joined by Alejandro Daniel Noel. Alejandro got his masters from TU Delft working with Acitive Inference and the Free Energy Principle, and is now a full time software engineer at Google in Zürich, specializing on machine learning engineering of language models for conversational AI.
We discuss the free energy principle, active inference, the role of uncertainty, latent variable models, language and tokenization, causality, diffusion models, DALL-E, paths towards AGI, JEPA, language and consciousness, attention, self-attention, and many more topics.
Stay tuned for more episodes: https://mailchi.mp/0346443b6ddf/acit-global-signup
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By Manuel BrennerIn this episode, our host Manuel Brenner is joined by Alejandro Daniel Noel. Alejandro got his masters from TU Delft working with Acitive Inference and the Free Energy Principle, and is now a full time software engineer at Google in Zürich, specializing on machine learning engineering of language models for conversational AI.
We discuss the free energy principle, active inference, the role of uncertainty, latent variable models, language and tokenization, causality, diffusion models, DALL-E, paths towards AGI, JEPA, language and consciousness, attention, self-attention, and many more topics.
Stay tuned for more episodes: https://mailchi.mp/0346443b6ddf/acit-global-signup