TetrasChat Know Everything you Want

This algorithm is based on the Transformer model generation method to generate text. By understanding and generating natural language, this "Voice assistants" can perform Q&A, assist in writing, and engage in daily conversations.

Algorithm Introduction Algorithm Function Application Scenarios
Algorithm Introduction

Based on Transformer model, the TetrasChat large language generation & synthesis algorithm primarily functions by predicting the next Token based on user input text. The model predicts the next Token in a sentence by calculating the probability distribution and selects the most likely Token as the output. The TetrasChat large language model algorithm can be integrated into various business scenarios that require natural language Q&A, writing, and chatting, providing users with text generation services.

Application scope

TetrasChat is suitable for any scenario that requires text generation, with a primary focus on the smartphone industry, and is applied in the market among major mobile phone manufacturers and application software developers.

Algorithm Functionality
Knowledge Q&A
Assisting Writing and Creation
Daily Chat
Application Scenarios
Voice Assistant
By understanding and generating natural language, voice assistants can perform knowledge Q&A, assist in writing, and engage in daily conversations.
Document Assistant
Users can query specific information or request document summaries to quickly obtain key content and insights.
 
System Agent
Understanding user language commands and providing a natural and smooth communication method, such as responding to inquiries and executing commands.
Others
Others
For in-depth collaboration on Large Model products, Please contact our business email:business@tetras.ai Business Consulting