GitHub

Getting started with Ollama for Python

So far, running LLMs has required a large amount of computing resources, mainly GPUs. Running locally, a simple prompt with a typical LLM takes on an average Mac ...
InfoWorld

Django tutorial: Get started with Django 6

Get up and running with routes, views, and templates in Python’s most popular web framework, including new features found ...
IEEE

Backdoor Attack and Defense on Deep Learning: A Survey

Abstract: Deep learning, as an important branch of machine learning, has been widely applied in computer vision, natural language processing, speech recognition, and more. However, recent studies have ...

Learn Complex Skills Fast with AI : 5 Step Blueprint That Works

Learn faster with a five-step AI learning framework. Use Perplexity and Notebook LM for resources, priming, and save up to 20 hours.
IEEE

End-Edge-Cloud Collaborative Computing for Deep Learning: A Comprehensive Survey

Abstract: The booming development of deep learning applications and services heavily relies on large deep learning models and massive data in the cloud. However, cloud-based deep learning encounters ...
GitHub

Deep neural networks

Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural ...