Vishwas Acharyavishwasacharya.hashnode.dev·Mar 25, 2024Understanding Large Language Models: A Beginner's GuideIntroduction Have you ever spoken to a machine that understood you? Large Language Models (LLMs) are making this a reality. These AI marvels are transforming how we communicate with machines, blurring the lines between human language and computer cod...DiscussBlackwell GPUs
Bry Murraydrbry.hashnode.dev·Mar 5, 2024AI - running your own chatGPTNormally I do a single post a week, but I thought I'd do a second this week, to cover running a large language model (LLM) on your own kit. You may have read my last post about building your own chatGPT and be thinking to yourself, that was a bit of ...Discuss·54 readsAI
Edward HaforEdward's Bloghaquocviet.hashnode.dev·Feb 28, 2024The Impact of AI on Programming: Redundancy or Enhancement?A few days ago, Jensen Huang, the president of Nvidia, suggested that the advent of AI has rendered programming skills redundant, allowing humans to avoid the necessity of coding. Let AI handle the coding for us. In my view, this statement could pote...DiscussAI
Keith Winstonsymbols.hashnode.dev·Feb 16, 2024Running Nvidia's new ChatWithRTX AINvidia just released a beta application for Windows called ChatWithRTX. It uses a local LLM to chat offline with your own files (currently .txt, .pdf, and .doc). The system requirements are Windows 11 and an Nvidia 30xx or 40xx video card with at lea...DiscussNVIDIA
Reza MohideenforNOCD Tech Blognocd.hashnode.dev·Jan 25, 2024Registering GPU Instance w/ AWS Elastic Container Service (ECS)Prerequisites Existing cluster Some familiarity with AWS ECS i.e. setting up cluster, services, task definitions, launch templates, auto scaling groups, and capacity providers Steps Setup Task Definition as normal but specify GPU Resource { "...DiscussAWS
Pratik MaliforThe Tech Deckthetechdeck.hashnode.dev·Nov 29, 2023How to Install Nvidia Drivers on UbuntuInstalling Nvidia drivers on Ubuntu can optimize graphics performance for gaming, machine learning, and other GPU-accelerated workloads. However, the process involves some careful steps. This guide will walk through installing the latest Nvidia drive...DiscussLinuxNVIDIA
Pratik MaliforThe Tech Deckthetechdeck.hashnode.dev·Nov 24, 2023How to Build and Monetize an AI Model: The Complete GuideArtificial Intelligence (AI) has emerged as one of the most transformative technologies of our times. With its astounding capabilities to automate complex tasks, extract insights from massive datasets, and even mimic human creativity, AI presents unp...Discuss·87 readsAIAI
Kevin NaidooProkevincoder.co.za·Nov 17, 2023How to install NVIDIA drivers for machine learning on UbuntuA common pain point for setting up servers to run AI models - is getting the NVIDIA drivers to work correctly with Pytorch and other machine-learning libraries. In this guide, I will walk you through some installation steps you need to run to get you...Discuss·64 readsNVIDIA
Epsit Bhardwajepsit.hashnode.dev·Nov 17, 2023Experimenting with CUDA (2)Unleashing the potential of Nvidia GPU toolkit: Accelarting tasks with CUDA Intro to CUDA Toolkit CUDA (Compute Unified Device Architecture) is a parallel computing platform and programming model developed by NVIDIA for general computing on graphica...DiscussEmbarking On The Machine Learning OdysseyMachine Learning
Rijul Rajesh T Prijultp.hashnode.dev·Nov 12, 2023GPU Survival Toolkit for the AI age: The bare minimum every developer must knowWhy CPU Knowledge Is No Longer Enough In today's AI age, the majority of developers train in the CPU way. This knowledge has been part of our academics as well, so it's obvious to think and problem-solve in a CPU-oriented way. However, the problem wi...DiscussGPU