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

In today's hyperconnected world, social media has become a critical channel for businesses to understand consumers. While social listening tools are widely used, they often fall short, providing only ...

The use of modern technologies, including Immersive Mixed Reality (IMR) technologies, to present information on climate change has become essential due to their ability to simplify information and ...

PythoC lets you use Python as a C code generator, but with more features and flexibility than Cython provides. Here’s a first look at the new C code generator for Python. Python and C share more than ...

Abstract: This study presents a parameter-efficient fine-tuning framework for sentiment analysis on Indonesian-Javanese-English code-mixed texts using Transformer-based models. Motivated by the ...

This is a comprehensive data solution designed to streamline the collection, transformation, and analysis of financial data related to gold as a commodity for investment portfolio management. A ...

BERT-Sentiment-Analysis: A project using BERT-based models to perform sentiment analysis on multilingual text data, with examples in Arabic and English. This repository demonstrates loading, ...

HM Business School, Hochschule München University of Applied Sciences, Munich, Germany Characterized by high volatility the energy stock market provides ample research potential for stock market ...

Sentiment analysis once seemed revolutionary — categorize user feedback as positive, negative, or neutral, and you had a clear snapshot of public opinion (sort of). Yet, in an era of hyper-connected ...