Easy Guide to Run LLaMA2 Locally Want to play around with the famous LLaMA2 locally? No problem, this guide is just for you. I promise, it’s not one of those long-winded articles that give you a headache, but rather straightforward practical tips. Don’t worry, it’s much simpler than you think! First, you need an environment … Read more
1. Review of Llama Model Basics The Llama model is built on the Transformer architecture, featuring multiple layers of attention mechanisms that enable deep semantic analysis and feature extraction of input text. This allows it to excel in natural language processing tasks such as text continuation, summarization, and machine translation. Its design philosophy aims to … Read more
AllenNLP is an open-source deep learning framework based on PyTorch that focuses on natural language processing (NLP) tasks. Developed by the Allen Institute for AI, it aims to provide researchers and engineers in NLP with a flexible, efficient, and easily extensible platform that supports a complete workflow from rapid experimentation to production-level deployment. 1. Why … Read more
Selected from blog.christianperone Author:Christian S. Perone Translated by: Machine Heart Contributors: Siyuan, Huang Xiaotian, Li Zenan As a deep learning framework supported by Facebook’s Artificial Intelligence Research (FAIR) team, PyTorch has rapidly become a popular development tool since its launch in January 2017. Its advantages in debugging, compilation, and other aspects have made it widely … Read more
Selected from GitHub Compiled by Machine Heart Contributors: Geek.ai, Siyuan PyTorch is one of the best deep learning frameworks, known for its simplicity and elegance, making it ideal for beginners. This article will introduce the best practices and coding styles for PyTorch. Although this is an unofficial PyTorch guide, the article summarizes over a year … Read more
Excerpt from medium Author: Aakash N S Machine Heart Compilation PyTorch is an open-source neural network library developed and maintained by Facebook. It has gained significant momentum recently, with more and more developers writing tutorials for it, and this article is one of them. This is the first article in the ‘PyTorch: Zero to GANs’ … Read more
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Big Data Digest Production Source:Medium Compiled by:Zhao Jike In recent years, there have been significant advancements in deep learning hardware, with Nvidia’s latest products, the Tesla V100 and Geforce RTX series, featuring dedicated tensor cores designed to accelerate common operations in neural networks. Notably, the V100 has sufficient capability to train neural networks at thousands … Read more
↑ ClickBlue Text Follow the Extreme Market Platform Author丨Jack Stark@Zhihu Source丨https://zhuanlan.zhihu.com/p/104019160 Extreme Market Guide This article is a collection of common code snippets in PyTorch, covering five aspects: basic configuration, tensor processing, model definition and operation, data processing, and model training and testing, along with several notable tips. The content is very comprehensive. Join the … Read more
Source | Jishi Platform Author | Jack Stark@Zhihu The best resources for PyTorch are the official documentation. This article is a collection of common PyTorch code snippets, with some modifications based on reference material [1](Zhang Hao: PyTorch Cookbook) for easier consultation during use. 1 Basic Configuration Import Packages and Check Versions import torch import torch.nn … Read more