Implement Imagination-Open-Ended Text Generation with INLG
In this tutorial we show how to implement iNLG with Python code in a Gradient Notebook.
6 months ago
NLP
Meta Learning for Natural Language Processing: Part 1
In part 1 of this series on meta learning for Natural Language Processing, we introduce optimization and loss functions in machine learning used to approach meta learning with enhanced learning algorithms.
6 months ago
A Unified Text-to-Text Framework for NLP Tasks: An Overview of T5 Model
In this tutorial, we overview and explain the basics of working with the T5 model.
6 months ago
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
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
8 months ago
Review - Text Summarization With Pretrained Encoders
In this review, we examine popular text summarization models, and compare and contrast their capabilities for use in our own work.
8 months ago
Review of Imagination-Guided Open-Ended Text Generation
This review covers different methodologies for open-ended text generation
9 months ago
Context-Based Automated Conversational System Using a Pretrained Model
Follow this guide to create a conversational system with a pretrained LLM in Paperspace.
9 months ago
LLaMA 2: a model overview and demo tutorial with Paperspace Gradient
This tutorial shows how the LLaMA 2 model has improved upon the previous version, and details how to run it freely in a Gradient Notebook.
9 months ago
