3 Types of AI Models For Your Business

Single models: The lone wolf 🐺

Single models, like ChatGPT, are trained on a specific task or data type.

For instance, a language model trained solely on text data excels at text generation and translation tasks but might struggle with visual inputs.

These models are often computationally efficient and interpretable, making them useful for well-defined tasks.

Multi-modal Agents: The Jacks (and Jills) of All Trades

Multi-modal agents are AI systems that can process and understand information from multiple modalities, such as text, speech, vision, and sensor data.

This versatility allows them to interact with the world in a more human-like way.

Take for example Genysys Engine's botanical agent. It uses camera feeds, sensors and other input data to monitor and optimise plant growth. It can detect for deficiencies, diseases or pests. The AI model can also respond by communicating with devices to control the lighting, humidity, nutrients, fan speed and more.

Multi-modal agents are often more complex than single models, requiring advanced algorithms to fuse information from different sources.

Genysys Engine specialise in creating doman specific multi-model copilots personalised to your data, expertise and knowledge.

End-to-End Models: From Input to Output in One Go

End-to-end models are the future of AI. End-to-end models refer to training and refining a complex learning system and representing it with a single model . This model represents the complete target system, bypassing the intermediate layers usually present in traditional pipeline designs.

Genysys Engine are working towards end-to end models.