GigaChat

GigaChat

Sberbank Rossii PAO
+
+

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About

GigaChat knows how to answer user questions, maintain a dialogue, write program code, create texts and pictures based on descriptions within a single context. Unlike a foreign neural network, the GigaChat service initially already supports multimodal interaction and communicates more competently in Russian. The architecture of the GigaChat service is based on the neural network ensemble of the NeONKA (NEural Omnimodal Network with Knowledge-Awareness) model, which includes various neural network models and the method of supervised fine-tuning, reinforcement learning with human feedback. Thanks to this, Sber's new neural network can solve many intellectual tasks: keep up a conversation, write texts, answer factual questions. And the inclusion of the Kandinsky 2.1 model in the ensemble gives the neural network the skill of creating images.

About

The Universal Sentence Encoder (USE) encodes text into high-dimensional vectors that can be utilized for tasks such as text classification, semantic similarity, and clustering. It offers two model variants: one based on the Transformer architecture and another on Deep Averaging Network (DAN), allowing a balance between accuracy and computational efficiency. The Transformer-based model captures context-sensitive embeddings by processing the entire input sequence simultaneously, while the DAN-based model computes embeddings by averaging word embeddings, followed by a feedforward neural network. These embeddings facilitate efficient semantic similarity calculations and enhance performance on downstream tasks with minimal supervised training data. The USE is accessible via TensorFlow Hub, enabling seamless integration into various applications.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Users interested in a Russian language AI chatbot like ChatGPT

Audience

Data scientists and machine learning engineers seeking a tool to optimize their natural language processing models with robust sentence embeddings

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

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

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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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Sberbank Rossii PAO
Founded: 1841
Russia
sberbank.ru/

Company Information

Tensorflow
Founded: 2015
United States
www.tensorflow.org/hub/tutorials/semantic_similarity_with_tf_hub_universal_encoder

Alternatives

StableVicuna

StableVicuna

Stability AI

Alternatives

word2vec

word2vec

Google
ZenoChat

ZenoChat

TextCortex AI
ChatGPT

ChatGPT

OpenAI
Exa

Exa

Exa.ai
txtai

txtai

NeuML

Categories

Categories

Integrations

Google Colab
TensorFlow

Integrations

Google Colab
TensorFlow
Claim GigaChat and update features and information
Claim GigaChat and update features and information
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Claim Universal Sentence Encoder and update features and information