old man emu Posted 16 hours ago Author Posted 16 hours ago 5 hours ago, red750 said: AI-generated answer. Please verify critical facts. An OK generalisation, but still not tellingh me anything. How is an algorithm created in code?
rgmwa Posted 15 hours ago Posted 15 hours ago My understanding is that the neural network uses formally coded algorithms to alter its internal weighting parameters based on whether the model has made a successful prediction or not. If the neural network is big enough and the data it is being trained on is extensive enough its predictions become more accurate to the point where the AI model seems intelligent. Jerry can probably explain it better than I can.
old man emu Posted 3 hours ago Author Posted 3 hours ago 11 hours ago, rgmwa said: Jerry can probably explain it better than I can. How do you create a "formally coded algorith"? That is my question.
facthunter Posted 3 hours ago Posted 3 hours ago Why expect to find the answer HERE? We are mere Mortals. Nev
red750 Posted 1 hour ago Posted 1 hour ago 2 hours ago, old man emu said: How do you create a "formally coded algorith"? That is my question. Just ask AI. https://www.phpcluster.com/how-to-write-an-algorithm/
rgmwa Posted 1 hour ago Posted 1 hour ago (edited) 2 hours ago, old man emu said: How do you create a "formally coded algorith"? That is my question. Like any other program. The programmer decides what the rules are that govern how the state of the ‘neurons’ in the network should change depending on the outcome of a trial and implements those rules in a programming language like C++ or Python. It’s just a feedback loop. You start by assigning random values, say between 1 and 10 to a node in the network and run a trial that gets it to predict an outcome. If the prediction is correct that node’s value is increased by some amount. If it guesses wrong the value is decreased so its importance in the network is reduced because its opinion is less ‘reliable’. Although I’ve said ‘a’ node, it’s applied to all nodes in the network. That’s the basic theory as I understand it. If you have billions of nodes being ‘trained’ the network may eventually start to seem to produce intelligent answers to questions although nobody really knows exactly what its internal state of ‘mind’ is because although the rules of the game have been coded the process of learning’ is fundamentally random trial and error. Edited 1 hour ago by rgmwa
rgmwa Posted 18 minutes ago Posted 18 minutes ago I suppose an analogy might be chess. The rules of chess are known (coded) but the process by which each game reaches a conclusion is unknown (the AI model) even though the conclusion is known - it's going to be a win or a draw ( a correct prediction).
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