Open AI is implementing Unsupervised Learning though: https://openai.com/blog/better-language-models/ Unsupervised Learning is auto sorting, you have a compression/error goal still but that's it. Supervised Learning is when you give it many labels and tell it to match some data or gather new data. Imitation Learning. Reinforced Learning is when you get reward for randomized outputs or randomized inputs. You know what decisions you have and decide at each step, with probabilities.
Unsupervised Learning (training) is best but hardest. Search is using Self-Attention and digging through large search space **after** the last training update. ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/T26a5f8008aa0b4f8-M7ed673e233572839f7906605 Delivery options: https://agi.topicbox.com/groups/agi/subscription
