Learn more about BLEU here: https://machinelearningmastery.com/calculate-bleu-score-for-text-python/ Reply Jin Zhou April 14, 2018 at 12:10 pm # Hi, I have a question about evaluating this model. As I know, perplexity is a very popular method. For BLEU and perplexity, which one do...
Perplexity: Measures how predictable the text is to a language model Burstiness: Assesses how often certain words or phrases repeat Lower perplexity means more predictable text and a higher likelihood of AI generation. Low burstiness can also indicate AI text. Therefore, predictable, uniform sentences...
What I did is to add a parameter do_pca and edit the function such: def tsne(X=np.array([]), no_dims=2, initial_dims=50, perplexity=30.0,do_pca=True): """ Runs t-SNE on the dataset in the NxD array X to reduce its dimensionality to no_dims dimensions. The ...
which might provide a better way to detect which parts of the text "are likely to follow the same pattern of words that a large language model [LLM] would produce," according to Writer's FAQ section. "The detector will not be 100% accurate, but can help ...
GPTZero has two parameters: “burstiness.” and “perplexity,” which will help you differentiate ChatGPT-generated and human-written content. Perplexity is a metric that is used to measure text complexity. GPTZero uses the GPT2 model to assess perplexity. Lower perplexity indicates that the cont...
Here is a breakdown of a few of our experiments and the links to the Perplexity pages where you can review the results yourself. Calculating returns on investments from the web Our first test gauged whether models could calculate returns on investment (ROI). We considered a scenario where the...
s accuracy is improved by compressing and decompressing text. This also allows it to calculate the conditional probability of each word. GPT models can perform well in “few shots” settings and respond to text samples that have been seen before. They only require a few examples to produce ...
learn simultaneously the word feature vectors and the parameters of that probability function. In the following two papers, it is shown that both to project all words of the context onto a continuous space and calculate the language model probability for the given context can be performed by a ...
"Average Formula":Get a formula for finding the average of a set of values, aiding in data analysis. "Percentage Formula":Create a formula to calculate percentages, useful for various business scenarios. "IF Function":Generate an IF function to perform conditional calculations based on specific ...
Generative AI can produce outputs in the same medium in which it is prompted (e.g., text-to-text) or in a different medium from the given prompt (e.g., text-to-image or image-to-video). Popular examples of generative AI include ChatGPT, Gemini, DALL-E, Midjourney, and Perplexity,...