Natural Language Processing (Nlp)

Language models are few-shot learners

<h2 class="text-2xl font-bold mb-4">Summary</h2> This paper introduces GPT-3, a large language model with 175 billion parameters, demonstrating that language models can perform a variety of natural l...

Unifying Language Learning Paradigms

<h2 class="text-2xl font-bold mb-4">Summary</h2> This research paper, published by Google in May 2022, introduces a novel approach to unify language learning paradigms. While the specifics are missin...

GLM-130B: An Open Bilingual Pre-trained Model

<h2 class="text-2xl font-bold mb-4">Summary</h2> This research paper introduces GLM-130B, an open-source bilingual pre-trained language model. The model is developed by Tsinghua University and likely...

Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling

<h2 class="text-2xl font-bold mb-4">Summary</h2> The paper introduces Pythia, a comprehensive suite of tools and models designed for analyzing large language models (LLMs) throughout the training and...

The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale

<h2 class="text-2xl font-bold mb-4">Summary</h2> This research paper, published by HuggingFace in June 2024, introduces the FineWeb datasets, which are designed to provide high-quality text data extr...