Fine-tuning large language models in practice: LLaMA 2
In this tutorial, we show how to fine-tune the powerful LLaMA 2 model with Paperspace's Nvidia Ampere GPUs.
By
Nick Ball
Tutorial
By
Nick Ball
Running the MLPerf 3.0 Nvidia GPU Benchmarks with Paperspace
In this article, we walk through the steps for running MLPerf 3.0 on Paperspace GPUs in order to show how we achieve peak performances for AI training, comparable to Nvidia's own reported results.
a year ago
DiffBIR: High Quality Blind Image Restoration with Generative Diffusion Prior
In this tutorial, we walkthrough the DiffBIR technique for blind image resoration. This Stable Diffusion based technique shows much promise, so follow along this tutorial to launch DiffBIR and explore more!
a year ago
Build a Transformer-based language Model Using Torchtext
In this tutorial, we show how to construct a fully trained transformer-based language model using TorchText in a Paperspace Notebook
a year ago
Review - STAR framework and ASP programming for NLU Tasks-part 2: Solving Word Problems in Algebra
Our follow up on the STAR Framework, this time showing how to solve word problems in algebra in Python.
a year ago
How to quickly clone your voice with TorToiSe Text-To-Speech
In this tutorial, we show how to clone voices with TorToise TTS, and discuss necessary steps to ensure ideal cloning takes place.
a year ago
Stable Diffusion
public
Training a LoRA model for Stable Diffusion XL
In this tutorial, we go over training a LoRA model on Stable Diffusion XL using your own images.
a year ago
Context-Based Automated Conversational System Using a Pretrained Model
Follow this guide to create a conversational system with a pretrained LLM in Paperspace.
a year ago
LLaMA 2: A Model Overview and Tutorial
This tutorial shows how the LLaMA 2 model has improved upon the previous versions of LLaMa, and details how to run it using a Jupyter Notebook.
a year ago
