Training a model for text document transformation? I have a bunch of text documents, split into source documents and transformed documents These text documents have multiple lines and are edited at specific locations, in a specific way I make u
deep learning - Artificial Intelligence Stack Exchange Language models produce a probability distribution over a set of words You determine the next word by sampling from this distribution So, determining the next word is stochastic even though the distribution is the same given the initial prompt
Connect Open WebUI with Langflow using Open WebUI Function Pipe I am trying to connect Langflow to Open WebUI so that I can use Langflow workflows inside Open WebUI as a model This makes handling all the AI easy because its all based on Open WebUI Below is th
How is simulated annealing better than hill climbing methods? In the least technical, most intuitive way possible: Simulated Annealing can be considered as a modification of Hill Climbing (or Hill Descent) Hill Climbing Descent attempts to reach an optimum value by checking if its current state has the best cost score in its neighborhood, this makes it prone to getting stuck in local optima Simulated Annealing attempts to overcome this problem by
Does topology have a place in ai This seems to ask two questions: 1) How does topology come in in the theoretical mathematics underlying artificial intelligence? 2) Can AI help us solve open problems in topology like the Hodge conjecture? I don't see these as the same
Is there a rigorous proof that AGI is possible, at least, in theory? So, despite the sensationalist tendencies of rogue journalists "parroting" wildly spectacular concepts from the fringe camps of the transhumanists (aka science fiction) - a quick perusal of the more rigorous communities of the grounded and thoughtful philosophers camp strongly and convincingly argues otherwise