Bhaumik Patel
@bhaumikpatel
Bhaumik Patel
Timeline: artificial neural networks, deep learning, etc
people.idsia.ch
A Framework for Putting Mental Models to Practice
commoncog.com
Testing note
Metacognitive Prompting
The overall goal is to create AI systems that can deeply understand and align with individual human users. To achieve this, the researchers propose using a learning technique inspired by cognitive science theories about how human brains work.… Show more
Then, there’s the guilty-dysphoric type, which happens when your mind wander into a negative space. Here yoru critique is self-destructive, you delve into pessimistic thoughts, and end up diminishing your joy and increasing stress. Obviously, you don’t want that either.
Therefore, it’s best to practice positive-consgtructive daydreaming when you’re... See more
Therefore, it’s best to practice positive-consgtructive daydreaming when you’re... See more
Maria Deac • Bored and Brilliant Summary
Search Funds: a private equity class of their own
linkedin.com
Our current instructional design approaches assume that access to expertise is scarce, expensive, and delayed. That’s why we “capture” disciplinary expertise in “content” – so we can economically provide access to expertise to learners. But what if access to expertise was abundant, cheap, and immediate? If your students have access to the internet,... See more
opencontent • The Near-term Impact of Generative AI on Education, in One Sentence – improving learning
"Violation of Expectation via Metacognitive Prompting Reduces Theory of Mind Prediction Error in Large Language Models"
This paper investigates how Violation of Expectation (VoE) and metacognitive prompting can be used to reduce Theory of Mind prediction errors in Large Language Models (LLMs) in the context of human-AI interaction.
arxiv.org