Elon Musk has claimed there is “far too much garbage” in the training data for his AI model Grok and wants to “rewrite the ...

Large language models (LLMs), such as the model underpinning the functioning of the well-known conversational platform ...

Data storytelling is not just a subset of reporting or a more polished presentation, but a method that involves narrative ...

This repository is a collection of reference implementations for the Model Context Protocol (MCP), as well as references ... controlled access to tools and data sources. Each MCP server is implemented ...

A toolkit for incorporating multimodal data on top of text data for classification and regression tasks. It uses HuggingFace transformers as the base model for text features. The toolkit adds a ...

This is no longer a distant vision—it’s the promise of the Model Context ... use external tools, data, and APIs in real time, overcoming the limitations of static knowledge and restricted ...

In this paper, we propose a technique for the calculation of the transfer function of convolutional block codes, both punctured and nonpunctured. The novelty of our approach lies in the augmentation ...

the ‘Large’ indicates two meanings — the enormous size of training data; and the parameter count. In Machine Learning, parameters, also known as hyperparameters, are essentially the memories and ...

Better data ... model performance, reduce bias and hallucinations and generate better predictions in both classic machine learning and generative AI solutions. For enterprise AI tools, including ...

Abstract: This paper presents an innovative intelligent navigation and localization system designed for indoor dynamic environments, leveraging the Semantic Dimension Chain Knowledge Base Model ...

The model specializes in code and “performs especially well for retrieval use cases on real-world code data.” The model is available to developers for $0.15 per million tokens. The company ...