This tool has been developed using both LM Studio and Ollama as LLM providers. The idea behind using a local LLM, like Google's Gemma-3 1B, is data privacy and low cost. In addition, with a good LLM a ...

Nvidia controls around 90% of the AI accelerator market, but that dominance may have peaked. Alphabet's TPU chips offer significant cost advantages for inference workloads, which are growing faster ...

Abstract: In this article, we propose a novel adaptive spatial structure-aware and spectral gradient structure tensor-guided model (AS3GSTM) for pansharpening, which realizes the process of fusing the ...

Getting started with LeetCode can feel like a lot, especially if you’re just beginning your coding journey. So many problems, so many concepts – it’s easy to get lost. But don’t sweat it. This guide ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. We introduce a new computational approach for predicting organic crystalline ...

Python for Data Analysis/ ├── Month_1: Python Foundations and Data Manipulation │ ├── Week_1: Introduction and Environment Setup │ │ ├── Lecture/ │ │ ├── Practice/ │ │ ├── Assignments/ │ │ └── Data ...

Large language models (LLMs) have become central to natural language processing (NLP), excelling in tasks such as text generation, comprehension, and reasoning. However, their ability to handle longer ...

Advancements in neural networks have brought significant changes across domains like natural language processing, computer vision, and scientific computing. Despite these successes, the computational ...