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Genies uses advanced LLM technology to create deeply personalized avatars, transforming how users interact with digital personas by mining rich user data from AI engagements.
At Genies, we're pushing the boundaries of user profiling and understanding by leveraging Large Language Models (LLMs). This next-generation technology is designed to distill valuable insights from AI-user interactions, enhancing our avatar ecosystem in profound ways. If you’re curious about how this fits into our broader framework, check out our avatar framework.
LLMs are revolutionizing the tech landscape due to their unparalleled ability to understand, generate, and manipulate human language. By training on vast datasets and using advanced machine learning techniques, LLMs can perform a wide array of tasks, from answering questions and summarizing texts to creating coherent and contextually relevant content. This is just the beginning; LLMs are set to redefine human-computer interaction and unlock new possibilities across various sectors.
For a deeper dive into how AI shapes avatars, see how smart avatars learn to move like you.
At Genies, we’re using LLMs to gain deeper insights into individual behaviors. This complements the visual representation provided by our avatars, allowing us to offer personalized experiences tailored to each user. By leveraging this technology, we can:
The Traits Framework is a sophisticated system designed to map user activities to foundational traits. These traits encapsulate essential aspects of an individual's personality and serve as the building blocks for our system. Here’s how it works:

Imagine your avatar not only looking like you but also understanding your preferences, habits, and personality traits. This seamless integration of visual and behavioral data provides a richer, more immersive experience. Whether it’s:
Our machine learning technology enhances every aspect of your digital journey with Genies. For related reading, see what makes a great AI companion.
As we implement and refine our LLM technology, here are the biggest focuses for our team:
By leveraging LLMs, we’re not just creating avatars; we’re building digital companions that truly understand you. Stay tuned for more updates on how we’re integrating this technology into our ecosystem.
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About the author
Kai built ML infrastructure at a Bay Area startup before developing an obsession with transformer architectures and inference optimisation that eventually pulled him out of product work entirely. A stint at a compute research lab sharpened his instinct for what actually matters in a model release versus what is marketing. He writes from the inside — from the perspective of someone who has debugged the systems he is describing at three in the morning. He is allergic to hype and instinctively drawn to the unglamorous plumbing questions that everyone else skips over.
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5 August 2024
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