GigaChat

GigaChat

Sberbank
+
+

Related Products

  • Google Cloud Speech-to-Text
    375 Ratings
    Visit Website
  • Enterprise Bot
    23 Ratings
    Visit Website
  • kama DEI
    8 Ratings
    Visit Website
  • LM-Kit.NET
    25 Ratings
    Visit Website
  • AddSearch
    140 Ratings
    Visit Website
  • Pylon
    62 Ratings
    Visit Website
  • Pipedrive
    10,133 Ratings
    Visit Website
  • Zendesk
    7,560 Ratings
    Visit Website
  • Docket
    58 Ratings
    Visit Website
  • Forethought
    166 Ratings
    Visit Website

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

Text2Mesh produces color and geometric details over a variety of source meshes, driven by a target text prompt. Our stylization results coherently blend unique and ostensibly unrelated combinations of text, capturing both global semantics and part-aware attributes. Our framework, Text2Mesh, stylizes a 3D mesh by predicting color and local geometric details which conform to a target text prompt. We consider a disentangled representation of a 3D object using a fixed mesh input (content) coupled with a learned neural network, which we term neural style field network. In order to modify style, we obtain a similarity score between a text prompt (describing style) and a stylized mesh by harnessing the representational power of CLIP. Text2Mesh requires neither a pre-trained generative model nor a specialized 3D mesh dataset. It can handle low-quality meshes (non-manifold, boundaries, etc.) with arbitrary genus, and does not require UV parameterization.

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

Organizations that need a complete AI 3D Model Generator solution

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

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

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
Founded: 1841
Russia
giga.chat/

Company Information

Text2Mesh
threedle.github.io/text2mesh/

Alternatives

Alternatives

YandexART

YandexART

Yandex
HunyuanWorld

HunyuanWorld

Tencent

Categories

Categories

Integrations

GigaChat 3 Ultra

Integrations

GigaChat 3 Ultra
Claim GigaChat and update features and information
Claim GigaChat and update features and information
Claim Text2Mesh and update features and information
Claim Text2Mesh and update features and information