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What is XLNet?

XLNet presents a groundbreaking method for unsupervised language representation learning through its distinct generalized permutation language modeling objective. In addition, it employs the Transformer-XL architecture, which excels in managing language tasks that necessitate the analysis of longer contexts. Consequently, XLNet achieves remarkable results, establishing new benchmarks with its state-of-the-art (SOTA) performance in various downstream language applications like question answering, natural language inference, sentiment analysis, and document ranking. This innovative model not only enhances the capabilities of natural language processing but also opens new avenues for further research in the field. Its impact is expected to influence future developments and methodologies in language understanding.

What is RoBERTa?

RoBERTa improves upon the language masking technique introduced by BERT, as it focuses on predicting parts of text that are intentionally hidden in unannotated language datasets. Built on the PyTorch framework, RoBERTa implements crucial changes to BERT's hyperparameters, including the removal of the next-sentence prediction task and the adoption of larger mini-batches along with increased learning rates. These enhancements allow RoBERTa to perform the masked language modeling task with greater efficiency than BERT, leading to better outcomes in a variety of downstream tasks. Additionally, we explore the advantages of training RoBERTa on a vastly larger dataset for an extended period, which includes not only existing unannotated NLP datasets but also CC-News, a novel compilation derived from publicly accessible news articles. This thorough methodology fosters a deeper and more sophisticated comprehension of language, ultimately contributing to the advancement of natural language processing techniques. As a result, RoBERTa's design and training approach set a new benchmark in the field.

Media

Media

Integrations Supported

Spark NLP

Integrations Supported

Spark NLP
AWS Marketplace
Haystack

API Availability

API Availability

Pricing Information

Free
Free Version

Pricing Information

Free
Free Version

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

XLNet

Date Founded

2019

Company Website

github.com/zihangdai/xlnet

Company Facts

Organization Name

Meta

Date Founded

2004

Company Location

United States

Company Website

ai.facebook.com/blog/roberta-an-optimized-method-for-pretraining-self-supervised-nlp-systems/

Categories and Features

AI Models

Not specified

Generative AI

Not specified

Large Language Models

Not specified

Categories and Features

AI Models

Not specified

Generative AI

Not specified

Large Language Models

Not specified

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