AIAdvanced#Tech#Optimization
Model Distillation
M
Definition
The process of compressing a large AI model into a smaller, more efficient version capable of running locally on-chain or on edge devices.
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Concept Diagram
Key Takeaways
1
Distillation compresses large AI models into smaller efficient versions
2
Uses a teacher-student approach where a small model mimics a larger one
3
Enables running expert-level models on personal hardware without cloud dependency
4
Key to AI sovereignty - keeping intelligence local and free from surveillance
Practical Example
GPT-4 level trading analysis distilled into a 7B parameter model that runs locally on your laptop - analyzing charts offline without sending data to any cloud server.
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Related Terms
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Compute-as-a-ServiceCloud or decentralized platforms providing the GPU/CPU power required to run autonomous agentic strategies 24/7.
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Fine-TuningThe process of further training a pre-existing AI model on a specific crypto dataset to improve its domain-specific accuracy.
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Model CollapseA theoretical state where AI models trained on AI-generated data begin to lose their ability to handle reality/nuance.
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InferenceThe process of an AI model using its trained knowledge to make predictions or decisions on new live market data.
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