Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

ConText is a new tool allowing you to to analyze corpora through a browser-based interface. Rather than separating out reports views, ConText uses hyperlinks to allow you to navigate connections ...

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Two complementary approaches were employed: Study 1 analyzed 1,902 Weibo posts containing “diet” and “social” keywords through latent Dirichlet allocation topic modeling and semantic network analysis ...

Unlock automatic understanding of text data! Join our hands-on workshop to explore how Python—and spaCy in particular—helps you process, annotate, and analyze text. This workshop is ideal for data ...

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Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. This paper presents ZacrosTools, a free and open-source Python library designed to ...

In this tutorial, we demonstrate a complete end-to-end solution to convert text into audio using an open-source text-to-speech (TTS) model available on Hugging Face ...

Everything on a computer is at its core a binary number, since computers do everything with bits that represent 0 and 1. In order to have a file that is "plain text", so human readable with minimal ...