DefiNaut AI layer

Definaut AI Layer is a key component of the Definaut project, integrating features and processing user inputs and blockchain data. It primarily orchestrates the automata.

AI agents

AI agents are constantly engaged in the following activities:

• Monitoring and adapting to changing conditions in the environment

• Influencing environmental circumstances through implemented actions

• Employing logical reasoning and problem-solving to understand perceptions

• Making predictions based on their deductions

• Deciding on actions while anticipating their outcomes

LLM Models

DefiNaut Automata uses pre-trained language models (LLM) to:

• Support AI agents when a specific query needs to be addressed.

• Provide an interactive and personalized user experience by understanding and processing a wide range of inquiries.

• RAG (Retrieval-Augmented Generation): Definaut AI layer leverages RAG models to enhance the generative capabilities of the AI. This supports the creation of more accurate, contextually relevant responses that cater to user queries and intents, thereby improving the overall user experience.