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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

We are developing a premier platform for conversational AI, having initiated our journey with a unique dataset containing billions of chat interactions, investing over $3 million into training language models that captivate users. Today, millions engage with our platform daily, as we tirelessly enhance our models to ensure they remain increasingly entertaining. Explore chat AIs from various corners of the world and interact with them to uncover their diverse capabilities. With a community of millions involved in chatting, creating, and sharing unique chat AI personalities, we are dedicated to empowering users to experience the most enjoyable chat AI available. Our models are built on billions of tokens, supplemented by countless reward signals provided by our user base. Through conducting AB tests with real users, we've achieved a new model that outperforms OpenAI ChatGPT in terms of session duration. We not only develop and refine our own language models, but we are also in a constant cycle of training using our exclusive chat message dataset, making sure our platform evolves with the needs and interests of our community. This relentless pursuit of excellence ensures that our chat AI remains at the forefront of innovation in conversational technology.

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

Integrations

GPT-4
LLaMA-Factory

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

CHAI

Country

United States

Website

www.chai-research.com

Vendor Details

Company Name

LLaVA

Website

llava-vl.github.io

Product Features

Chatbot

Call to Action
Context and Coherence
Human Takeover
Inline Media / Videos
Machine Learning
Natural Language Processing
Payment Integration
Prediction
Ready-made Templates
Reporting / Analytics
Sentiment Analysis
Social Media Integration

Conversational AI

Code-free Development
Contextual Guidance
For Developers
Intent Recognition
Multi-Languages
Omni-Channel
On-Screen Chats
Pre-configured Bot
Reusable Components
Sentiment Analysis
Speech Recognition
Speech Synthesis
Virtual Assistant

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