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.
in this tutorial, we look at how Transformers enables several classical NLP techniques like translation, classification, and segmentation of text.
In this tutorial, we discuss and show how to run MemGPT - an LLM with the potential for infinite context understanding.
In this tutorial, we look at HierSpeech++ - one of the newest and greatest speech synthesis models - on Papersapce.
Part 3 of our tutorial series on Meta Learning for NLP tasks.
In part 2 of this tutorial series on meta learning for NLP, we discuss different useful techniques for task construction.
in this article, we overview several notable techniques for facilitating text classification with deep learning.
Introducing Falcon, an advanced language model designed for intricate natural language processing tasks. In this tutorial we will gain an in depth knowledge on Falcon model and also use Paperspace GPUs to load and run the model.
In this article, we introduce the Transformers package, and detail how it facilitates notable NLP models like RoBERTa, SATformer, GPT-f, and more.
In this article, we break down the paper "Towards Reasoning in Large Language Models: A Survey" in an attempt to explain relevant reasoning concepts used by LLMs.