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Tesseract AI Chatbot Agent

Tesseract AI allows you to combine LLM models to build custom chatbot agents. Chatbot creators can input materials related to their services with just simple information, enabling the chatbot to independently respond to users' questions.

The LLM (Large Language Model) used in the Tesseract AI Chatbot Agent is an artificial intelligence model trained on vast amounts of text data to understand and generate human language. The key feature of LLM models is their ability to deeply understand context and generate natural conversations based on large-scale parameters. After learning patterns in data, they can provide appropriate responses to complex questions or create new text.

We have built our language model based on the GPT model and vectorize the natural language-based knowledge documents provided by creators to train the agent. When users ask questions, the Tesseract Agent searches the knowledge for relevant information and provides responses when suitable information is found.

Convenience of the Tesseract AI Chatbot Agent

The chatbot agent can be easily created in under 5 minutes with simple information input. Just enter a few types of information as required:

  • link: Enter a web link (docs, websites, etc.). The agent will recursively explore the contents of the link, reading and learning all the information.
  • ca: Enter the token's contract address. The agent will learn information like the current price, market cap, all-time high, and number of holders.
  • X (Twitter) (upcoming): By entering an X (Twitter) account, the agent will read and learn from recent posts.
  • custom (upcoming): You can input predefined information in natural language or in a question-and-answer format to handle common queries. Additionally, with the report function, user feedback will help manage and refine custom questions easily.

Tesseract AI Agent can also continuously learn by reading the chat logs when used in Telegram chat, and it treats important messages, such as pinned messages, with higher priority to ensure accurate information delivery.