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About

LLaVA (Large Language-and-Vision Assistant) is an innovative multimodal model that integrates a vision encoder with the Vicuna language model to facilitate comprehensive visual and language understanding. Through end-to-end training, LLaVA exhibits impressive chat capabilities, emulating the multimodal functionalities of models like GPT-4. Notably, LLaVA-1.5 has achieved state-of-the-art performance across 11 benchmarks, utilizing publicly available data and completing training in approximately one day on a single 8-A100 node, surpassing methods that rely on billion-scale datasets. The development of LLaVA involved the creation of a multimodal instruction-following dataset, generated using language-only GPT-4. This dataset comprises 158,000 unique language-image instruction-following samples, including conversations, detailed descriptions, and complex reasoning tasks. This data has been instrumental in training LLaVA to perform a wide array of visual and language tasks effectively.

About

XLNet is a new unsupervised language representation learning method based on a novel generalized permutation language modeling objective. Additionally, XLNet employs Transformer-XL as the backbone model, exhibiting excellent performance for language tasks involving long context. Overall, XLNet achieves state-of-the-art (SOTA) results on various downstream language tasks including question answering, natural language inference, sentiment analysis, and document ranking.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Researchers and anyone wanting a solution to generate and improve their AI-generated content

Audience

Developers interested in a solution for generalized autoregressive pretraining for language understanding

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

LLaVA
llava-vl.github.io

Company Information

XLNet
Founded: 2019
github.com/zihangdai/xlnet

Alternatives

PaliGemma 2

PaliGemma 2

Google

Alternatives

BERT

BERT

Google
Qwen3.5

Qwen3.5

Alibaba
GPT-4

GPT-4

OpenAI
Falcon 2

Falcon 2

Technology Innovation Institute (TII)
RoBERTa

RoBERTa

Meta
InstructGPT

InstructGPT

OpenAI
Inkling

Inkling

Thinking Machines Lab

Categories

AI Models Supported
AI Vision Models Supported
Multimodal Models Supported

Categories

AI Models Supported
Generative AI Supported

Integrations

ExecuTorch Supported
GPT-4 Supported
LLaMA-Factory Supported
Spark NLP Not Supported

Integrations

ExecuTorch Not Supported
GPT-4 Not Supported
LLaMA-Factory Not Supported
Spark NLP Supported
Claim LLaVA and update features and information
Claim LLaVA and update features and information
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Claim XLNet and update features and information