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Average Ratings 0 Ratings

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ease
features
design
support

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Description

DeepSeek-VL is an innovative open-source model that integrates vision and language capabilities, catering to practical applications in real-world contexts. Our strategy revolves around three fundamental aspects: we prioritize gathering diverse and scalable data that thoroughly encompasses various real-life situations, such as web screenshots, PDFs, OCR outputs, charts, and knowledge-based information, to ensure a holistic understanding of practical environments. Additionally, we develop a taxonomy based on actual user scenarios and curate a corresponding instruction tuning dataset that enhances the model's performance. This fine-tuning process significantly elevates user satisfaction and effectiveness in real-world applications. To address efficiency while meeting the requirements of typical scenarios, DeepSeek-VL features a hybrid vision encoder that adeptly handles high-resolution images (1024 x 1024) without incurring excessive computational costs. Moreover, this design choice not only optimizes performance but also ensures accessibility for a broader range of users and applications.

Description

LLaVA, or Large Language-and-Vision Assistant, represents a groundbreaking multimodal model that combines a vision encoder with the Vicuna language model, enabling enhanced understanding of both visual and textual information. By employing end-to-end training, LLaVA showcases remarkable conversational abilities, mirroring the multimodal features found in models such as GPT-4. Significantly, LLaVA-1.5 has reached cutting-edge performance on 11 different benchmarks, leveraging publicly accessible data and achieving completion of its training in about one day on a single 8-A100 node, outperforming approaches that depend on massive datasets. The model's development included the construction of a multimodal instruction-following dataset, which was produced using a language-only variant of GPT-4. This dataset consists of 158,000 distinct language-image instruction-following examples, featuring dialogues, intricate descriptions, and advanced reasoning challenges. Such a comprehensive dataset has played a crucial role in equipping LLaVA to handle a diverse range of tasks related to vision and language with great efficiency. In essence, LLaVA not only enhances the interaction between visual and textual modalities but also sets a new benchmark in the field of multimodal AI.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

GPT-4
LLaMA-Factory
Python

Integrations

GPT-4
LLaMA-Factory
Python

Pricing Details

Free
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

DeepSeek

Founded

2023

Country

China

Website

www.deepseek.com

Vendor Details

Company Name

LLaVA

Website

llava-vl.github.io

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