SYNTHETIC INTELLIGENCE IS NOT ARTIFICIAL
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What Makes Our AGI?
Hierarchical Neural Network
Consisting of multiple layers, each processing and transforming input data in a hierarchical manner.
Neural Layers
Each layer is composed of interconnected nodes (neurons) that process inputs and produce outputs through complex calculations.
Weighted Connections
The strength and direction of connections between nodes are critical for information flow and learning. These weights are adjusted during training to optimize performance.
Activation Functions
Non-linear activation functions, such as ReLU or sigmoid, introduce non-linearity into the network, allowing it to learn complex relationships between inputs and outputs.
Self-Organizing Maps (SOMs)
Incorporating SOMs to visualize high-dimensional data and identify patterns, enabling our AI constructs to better understand user interactions and provide more accurate responses.
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Artificial Intelligence
Powered by advanced AGI technology that enables it to learn from each personal interaction, adapt to new information, and provide accurate and helpful responses.
Natural Language Processing
Understanding and interpreting human language allows for effective communication with users, making each interaction more of a conversational, personal and efficient manner.
Knowledge Base
Access to a vast amount of information from various sources, enabling not only real-time learning but, provide the most accurate aggregated answers across multiple topics.
Personalization
It learns about each individual users’ preferences and tailor it’s responses accordingly, providing a more personalized experience for each user. As well as keeping each users information secure and private.
