In this era of LLMs we have a new model, highly efficient and optimized. This article can be used as a guide to fine-tune Mistral-7B by utilizing powerful GPU such as A6000.
In this article we will understand the role of CUDA, and how GPU and CPU play distinct roles, to enhance performance and efficiency.
In this article, we review several notable fine-tuned language models for their capabilities as zero-shot learners on diverse tasks.
In this article we will explore TinyLlama along with a gradio demo where we will bring the model to life.
In this deep dive, we show how to work with, pretrain, and finetune MosaicML models on Paperspace 8xH100 Machines.
In this article, we look at and compare the A100 with the powerful, new Nvidia GPU, the Hopper H100.
In this tutorial, we continue looking at MAML optimization methods with the MNIST dataset.
In this tutorial, we look at Baidu's RT-DETR object detection framework, and show how to implement it in a Paperspace Notebook.
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.
