AIAdvanced#Strategy#Execution
Inference
I
Definition
The process of an AI model using its trained knowledge to make predictions or decisions on new live market data.
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Concept Diagram
Key Takeaways
1
Inference is when a trained AI model makes predictions on new live data
2
Unlike training which is slow and expensive, inference is fast and real-time
3
Decentralized AI aims for verifiable inference to prove decisions are AI-generated not manipulated
4
Critical phase where models deliver actual trading value in production
Practical Example
A CryptoLV trading model trained on 5 years of data performs inference in 50ms - analyzing live order book data and outputting a buy/sell signal for immediate execution.
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Related Terms
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LLM ReasoningThe process by which an AI agent uses large language models (like DeepSeek or Claude) to parse news and market data into trading decisions.
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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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Latency-Optimized AIDeployment of AI agents on hardware close to blockchain nodes to minimize the time between seeing data and executing a trade.
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Model DistillationThe 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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