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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.

What is BlenderBot?

The AI has been crafted to take on a character that can participate in conversations on nearly any topic imaginable! Seize this chance to have a dialogue with them! This initial iteration is looking for your input. Feel free to converse about any subject that captures your curiosity, and contribute your thoughts to support the evolution of AI research. The bot is developed from a comprehensive language model that utilizes publicly available text materials. For a deeper understanding of how the model operates, you might want to check out our latest blog post, while more details regarding the datasets employed can be found in our model documentation. Furthermore, this AI enhances its knowledge via online searches and possesses a long-term memory feature that records previous exchanges you've had. You can access and reset these memories whenever the “look inside” option becomes available during your conversation. In addition, by clicking on specific messages, you can uncover more about their creation, including the search queries performed by the bot. This interactive design is intended to foster a more tailored and immersive experience for users, making each interaction more meaningful and engaging.

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

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

Sberbank

Date Founded

1841

Company Location

Russia

Company Website

giga.chat/

Company Facts

Organization Name

Meta

Date Founded

2004

Company Location

United States

Company Website

BlenderBot.ai

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

Categories and Features

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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