Building with LEGO bricks is a fun and creative activity that allows you to construct various structures by combining different-sized bricks in multiple ways. This same concept applies to the development of artificial intelligence (AI) systems; you can connect different AI models to meet specific requirements, creating an impressive AI system like constructing a LEGO castle! Let’s explore further how this analogy applies to creating AI systems.
The LEGOs Bricks Analogy for AI Systems
Think of each AI model as one unique-sized LEGO brick – when combined with other pieces, they come together as one unified structure.
Like each type of LEGO brick, each AI model serves a distinct function. And complex solutions become achievable goals when all these components come together into one cohesive platform.
And much like a complex LEGO creation, combining multiple AI models requires patience, understanding, and planning.
Embeddings are the Keystones
Embeddings are essential for providing the AI system access to a large corpus of knowledge.
Conversational Models are the Façade of the AI System
The conversational model is the “face” of the AI system. It allows for communication between the user and AI.
Fine-Tuned Conversational Models Reduce Variability
Fine-tuned conversational models enable more consistency in communication between users and the AI system while decreasing the need for prompt engineering.
Reinforcement Learning Models Provide Adaptability
Reinforcement learning allows an AI system to adjust its behavior based on feedback from a reward system (e.g., rewarding tasks performed correctly). The reward system improves the adaptability and accuracy of an AI system.
Digging the Moat with AI
Building an AI system is like building a LEGO castle, where the inside is a mystery from the people’s perspective outside the castle. Your moat is the arrangement of AI components that drive the castle’s operations.
These different components’ arrangement allows us to create robust systems that handle complex tasks. Furthermore, by carefully considering each component’s strengths and weaknesses, we can determine how best to combine them into efficient yet powerful systems capable of achieving desired objectives in a way that outperforms the competition.
Building Your AI Castle
Building your first AI system is an exhilarating and creative endeavor, akin to constructing your first LEGO castle as a child. As the architect, it is crucial to comprehend the various AI components and their potential combinations. Then, with a strategic approach and careful planning, you can build AI systems that achieve outcomes similar to the impressive creations made from simple LEGO bricks.