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What is Neuralhub?

Neuralhub serves as an innovative platform intended to simplify the engagement with neural networks, appealing to AI enthusiasts, researchers, and engineers eager to explore and create within the realm of artificial intelligence. Our vision extends far beyond just providing advanced tools; we aim to cultivate a vibrant community where collaboration and the exchange of knowledge are paramount. By integrating various tools, research findings, and models into a single, cooperative space, we work towards making deep learning more approachable and manageable for all users. Participants have the option to either build a neural network from scratch or delve into our rich library, which includes standard network components, diverse architectures, the latest research, and pre-trained models, facilitating customized experimentation and development. With a single click, users can assemble their neural network while enjoying a transparent visual representation and interaction options for each component. Moreover, easily modify hyperparameters such as epochs, features, and labels to fine-tune your model, creating a personalized experience that deepens your comprehension of neural networks. This platform not only alleviates the complexities associated with technical tasks but also inspires creativity and advancement in the field of AI development, inviting users to push the boundaries of their innovation. By providing comprehensive resources and a collaborative environment, Neuralhub empowers its users to turn their AI ideas into reality.

What is GigaChat?

GigaChat excels in responding to user inquiries, engaging in interactive conversations, generating programming code, and crafting written content and images based on user-provided descriptions, all within a unified framework. Unlike other neural networks, GigaChat is intentionally built to support multimodal interactions and showcases exceptional skill in the Russian language. At its core, GigaChat is based on the NeONKA (NEural Omnimodal Network with Knowledge-Awareness) model, which integrates a wide range of neural network systems and utilizes methods like supervised fine-tuning and reinforcement learning that is augmented by human feedback. Consequently, Sber's pioneering neural network can effectively address a multitude of cognitive tasks, including engaging in stimulating dialogues, creating informative written content, and providing accurate answers to questions. Additionally, the incorporation of the Kandinsky 2.1 model within this framework significantly boosts its abilities, allowing it to generate detailed images in response to user prompts, which broadens the possible uses of the service. This diverse functionality not only enhances GigaChat’s versatility but also positions it as a leading tool in the field of artificial intelligence, making it a valuable asset for various applications.

Media

Media

Integrations Supported

GigaChat 3 Ultra

Integrations Supported

GigaChat 3 Ultra

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

Neuralhub

Company Website

neuralhub.ai/

Company Facts

Organization Name

Sberbank

Date Founded

1841

Company Location

Russia

Company Website

giga.chat/

Categories and Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Categories and 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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