LLMs on DO+PS Multinode H100s: Pretraining and Finetuning MosaicML Models
In this deep dive, we show how to work with, pretrain, and finetune MosaicML models on Paperspace 8xH100 Machines.
By
Nick Ball
Tutorial
By
Nick Ball
Optimization-based meta-learning: Using MAML with PyTorch on the MNIST dataset
In this tutorial, we continue looking at MAML optimization methods with the MNIST dataset.
a year ago
Real-Time Object Detection: A Comprehensive Guide to Implementing Baidu's RT-DETR with Paperspace
In this tutorial, we look at Baidu's RT-DETR object detection framework, and show how to implement it in a Paperspace Notebook.
a year ago
Unveiling the Power of First-Order MAML Algorithm in Meta-Learning
In this tutorial we introduce and cover First-Order Model Agnostic Meta-Learning (MAML), which give fast understanding on new tasks to deep neural networks.
a year ago
Top 4 Techniques for Handling Missing Values in Machine Learning
In this tutorial, we show how to deal with missing values in machine learning datasets.
a year ago
LangChain: A Beginner's Guide to Harness the Power of Language Models
In this tutorial, we show how to get started with LangChain: a useful package for streamlining your Large Language Model pipelines.
a year ago
Transformers for Language Translation, Classification and Segmentation challenge
in this tutorial, we look at how Transformers enables several classical NLP techniques like translation, classification, and segmentation of text.
a year ago
How to use H100 Single and Multi-GPU machines with Paperspace
How to run Nvidia H100 single and 8x multi-GPU machines on Paperspace.
a year ago
MemGPT with Real-life Example: Bridging the Gap Between AI and OS
In this tutorial, we discuss and show how to run MemGPT - an LLM with the potential for infinite context understanding.
a year ago
