Depending on your use case, custom models can be a faster, cheaper, and more customizable option compared to using an LLM. Let's cover how to train your own.| Builder.io
Markov chains, named after Andrey Markov, are mathematical systems that hop from one "state" (a situation or set of values) to another. For example, if you made a Markov chain model of a baby's behavior, you might include "playing," "eating", "sleeping," and "crying" as states, which together with other behaviors could form a 'state space': a list of all possible states. In addition, on top of the state space, a Markov chain tells you the probabilitiy of hopping, or "transitioning," from one ...| setosa.io
Teaching page of Shervine Amidi, Graduate Student at Stanford University.| stanford.edu