Abstract: This paper compares the performance of activation function hardware under exponential function approximation techniques. The activation function is a key component of deep neural networks, ...

This tutorial demonstrates how to implement the Self-Refine technique using Large Language Models (LLMs) with Mirascope, a powerful framework for building structured prompt workflows. Self-Refine is a ...

here is the main repo https://github.com/andrewyng/aisuite/ here are the providers https://github\\.com/andrewyng/aisuite/tree/main/aisuite/providerse/providers map ...

Q. Are there any alternatives to traditional PivotTables in Excel? A. The first thing that comes to mind is the function GROUPBY. The primary purpose of GROUPBY is to make data analysis easier by ...

A Knowledge Graph Memory Server allows Claude Desktop to remember and organize information about a user across multiple chats. It can store things like user preferences, past conversations, and ...

Activation functions play a critical role in AI inference, helping to ferret out nonlinear behaviors in AI models. This makes them an integral part of any neural network, but nonlinear functions can ...

A windowed sinc function can implement a low-pass filter, and a two-dimensional convolutional filter can blur or sharpen images. In part 3 of this series, we introduced a low-pass filter based on the ...

Abstract: In recent years, neural network decoding of polar codes, such as neural belief propagation (BP), has been intro-duced. These methods use deep learning to transform the factor graph into a ...