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A mind–reading brain implant that comes with password protection

A brain scan (artificially coloured) produced by magnetic resonance imaging. Credit: K H Fung/Science Photo Library A brain implant can decode a person’s internal chatter — but the device works only if the user thinks of a preset password1. The mind-reading device, or brain–computer interface (BCI), accurately deciphered up to 74% of imagined sentences. The system began decoding users’ internal speech — the silent dialogue in people’s minds — only when they thought of a specific keyword. This

Reinforcement Learning from Human Feedback (RLHF) in Notebooks

Reinforcement Learning from Human Feedback (RLHF) in Notebooks This repository provides a reference implementation for Reinforcement Learning from Human Feedback (RLHF) [Paper] framework presented in the RLHF from scratch, step-by-step, in code YouTube video. Overview of RLHF RLHF is a method for aligning large language models (LLMs), like GPT-3 or GPT-2, to better meet users' intents. It is essentially a reinforcement learning approach, where rather than directly getting the reward or feedba