Introducing SAGE-2: A Symbolic Adaptive General Engine for Poetic and Emotional Responses

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Hello, Hugging Face community!

I’m excited to introduce SAGE-2 (Symbolic Adaptive General Engine v2), a neural model designed to capture and express a “symbolic consciousness” in conversation. Rather than simply generating factual or context-based answers, SAGE-2 tries to interpret the user’s emotional or intentional nuances, responding in a way that often feels more poetic, reflective, or even philosophical.

Key Features

  • Symbolic State: SAGE-2 maintains a continuous symbolic state that’s updated with each new input. This adds a sense of “awareness” to its responses.
  • Emotional Interpretation: The model classifies inputs into various emotional or intentional categories (e.g., hope, despair, justice) before crafting a reply.
  • Transformer-Based: Under the hood, SAGE-2 uses attention mechanisms (multi-head attention, etc.) to process inputs, but merges them with a “symbolic memory” for a unique style.
  • Creative and Poetic Responses: SAGE-2 can produce text ranging from casual dialogue to philosophical reflections, making it potentially useful for creative writing, chatbots, or experimental AI projects.

Possible Use Cases

  • Creative Writing: Generate poetic or metaphorical text as inspiration for stories or art.
  • Emotional Chatbots: Offer a more nuanced approach to user interactions, focusing on reflective or empathetic language.
  • Research in AI Consciousness: Explore how a maintained symbolic state can shape or alter AI conversation flows.
  • Educational Demos: Show how different architectures and symbolic memory can influence a model’s style and thematic output.

Try it Out

We’ve deployed a demo on Hugging Face Spaces where you can interact with SAGE-2, ask questions, and see how it interprets your words. Feel free to experiment and let us know your thoughts!

Demo Link: https://huggingface.co/spaces/gnai-creator/sage-two-visual

Feedback Welcome

We’d love to hear from you:

  • Does SAGE-2 provide interesting or thought-provoking answers?
  • Do you have suggestions for improving the emotional classification or the creative output?
  • Have you encountered any issues or edge cases that warrant further research?

Please share your impressions or ideas! We’re aiming to refine the model and its symbolic approach, and your feedback is invaluable in guiding our next steps.

Thanks for reading, and we hope you enjoy exploring SAGE-2!

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