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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 LLaVA?

LLaVA, which stands for Large Language-and-Vision Assistant, is an innovative multimodal model that integrates a vision encoder with the Vicuna language model, facilitating a deeper comprehension of visual and textual data. Through its end-to-end training approach, LLaVA demonstrates impressive conversational skills akin to other advanced multimodal models like GPT-4. Notably, LLaVA-1.5 has achieved state-of-the-art outcomes across 11 benchmarks by utilizing publicly available data and completing its training in approximately one day on a single 8-A100 node, surpassing methods reliant on extensive datasets. The development of this model included creating a multimodal instruction-following dataset, generated using a language-focused variant of GPT-4. This dataset encompasses 158,000 unique language-image instruction-following instances, which include dialogues, detailed descriptions, and complex reasoning tasks. Such a rich dataset has been instrumental in enabling LLaVA to efficiently tackle a wide array of vision and language-related tasks. Ultimately, LLaVA not only improves interactions between visual and textual elements but also establishes a new standard for multimodal artificial intelligence applications. Its innovative architecture paves the way for future advancements in the integration of different modalities.

Media

Media

Integrations Supported

GPT-4
LLaMA-Factory
Spark NLP

Integrations Supported

GPT-4
LLaMA-Factory
Spark NLP

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

XLNet

Date Founded

2019

Company Website

github.com/zihangdai/xlnet

Company Facts

Organization Name

LLaVA

Company Website

llava-vl.github.io

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