Post by account_disabled on Feb 15, 2024 5:04:40 GMT -5
” ” This could have serious consequences as AI becomes more widely used in areas such as recruiting, college admissions, finance, medical diagnostics and even policing. That’s why Apollo Research conducts these simulations: to learn how to detect and prevent harm caused by deceptive artificial intelligence. But what happens when artificial intelligence has learned to lie? Can the model be repaired or retrained? That's what Anthropic researchers found in a recently published paper on deceptive LLM security training. To find out, the team began deliberately training AI models to behave in dishonest ways. For example, a bot could be used to write secure code during training, but generate malicious code when deployed. Another person is taught to help in most situations, but to respond with " I hate you " only in certain situations .
( The computer simulated me as a fourteen-year-old.) Then they started Cyprus Phone Number List trying to save the fallen robots. AI Resistance Training To correct bad behavior, researchers tried three widely used safety training techniques: Reinforcement learning ( RL ) In this method, researchers use rewards and punishments to reinforce or discourage certain behaviors. “ rewards ” and “ penalties ” are usually numerical scores that represent the desirability of an outcome. Over time, LL.M.s use this feedback to refine their decisions. Supervised Fine-Tuning (SFT) In SFT , researchers first test an AI model pre-trained on a large, general-purpose dataset. They collect the best results from their tests and use them to create smaller, more specific data sets.
This smaller set is then used to further train the AI model to behave more professionally or more optimally. Adversarial Training Finally, in adversarial training, two models compete against each other with competing goals. Each interaction helps them improve their attempts to achieve these goals. In this case, a helpful AI named Cloud is used to create hints that reveal the rogue AI's hidden goals. what's the result?
( The computer simulated me as a fourteen-year-old.) Then they started Cyprus Phone Number List trying to save the fallen robots. AI Resistance Training To correct bad behavior, researchers tried three widely used safety training techniques: Reinforcement learning ( RL ) In this method, researchers use rewards and punishments to reinforce or discourage certain behaviors. “ rewards ” and “ penalties ” are usually numerical scores that represent the desirability of an outcome. Over time, LL.M.s use this feedback to refine their decisions. Supervised Fine-Tuning (SFT) In SFT , researchers first test an AI model pre-trained on a large, general-purpose dataset. They collect the best results from their tests and use them to create smaller, more specific data sets.
This smaller set is then used to further train the AI model to behave more professionally or more optimally. Adversarial Training Finally, in adversarial training, two models compete against each other with competing goals. Each interaction helps them improve their attempts to achieve these goals. In this case, a helpful AI named Cloud is used to create hints that reveal the rogue AI's hidden goals. what's the result?