Perplexity can get you the answers you need fast. It compiles the data into an easy-reading summary that can help you build on the particular topic. Perplexity will efficiently search the internet and write a quick summary, including siting its sources. You can ask a follow-up question if you want more details.

Perplexity's goal was to make it as easy as possible to get you answers to your questions, and Having it as a Chrome extension makes that possible. No account is needed and no waiting for availability

Perplexity Features:

Quickly ask a question from your toolbar
Easily available to answer any questions you have while you browse
Enhance your search engine experience on Google and Bing with one click

We asked Perplexity, how does it work? The following answer was returned: Perplexity is a metric used to measure how well a probability distribution or probability model predicts a sample. It is defined as the exponentiation of entropy, which is a measure of the uncertainty of a random variable. A low perplexity indicates that the probability distribution is good at predicting the sample.

Perplexity can be used to compare different probability models and can also be used as a measure of how hard a prediction problem is. In the particular case where p models a fair k-sided die (a uniform distribution over k discrete events), its perplexity is k. Perplexity is invariant with the base used to define entropy, making it more unique than entropy as a measurement of uncertainty. The perplexity of a sequence can be computed in one forward pass and will typically yield an approximation of the fully-factorized perplexity.

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