Artificial Intelligence Guides

Learn Artificial Intelligence from the basics to intermediate level. Token Tool Hub offers practical guides on machine learning, neural networks, and AI’s role in blockchain and crypto

Intro to Vector Search for Research: A Practical Tutorial (Complete Guide)

Beginner Track /

Intro to Vector Search for Research: A Practical Tutorial (Complete Guide) Intro to Vector Search for Research is the fastest way to upgrade how you find information in messy, real-world data. Keyword search is good when the exact words are known. Research usually is not like that. You are hunting meaning, paraphrases, near-duplicates, hidden themes, […]

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GPU Cost Optimization for Analytics: Implementation Guide + Pitfalls

Intermediate Track /

GPU Cost Optimization for Analytics: Implementation Guide + Pitfalls GPU Cost Optimization for Analytics is not about buying cheaper hardware. It is about building a measurable pipeline that keeps GPUs busy on the right work, avoids silent waste, and protects accuracy while you scale. This guide gives you a practical implementation playbook: how costs really

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MEV Sandwich Detection at Scale: Implementation Guide + Pitfalls

Intermediate Track /

MEV Sandwich Detection at Scale: Implementation Guide + Pitfalls MEV Sandwich Detection at Scale is not a single heuristic and it is not a dashboard that flags a block as “bad”. It is an end to end engineering problem: ingesting blocks and traces reliably, reconstructing swap intent, labeling attacker-victim-attacker patterns, measuring confidence, and doing it

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AI Security Basics: Prompt Injection, Data Poisoning, and Safe Inputs (Complete Guide)

Beginner Track /

AI Security Basics: Prompt Injection, Data Poisoning, and Safe Inputs (Complete Guide) AI Security Basics is not about chasing the newest jailbreak prompt. It is about engineering systems so untrusted text cannot silently become trusted instructions, and so untrusted data cannot quietly shape what your model believes. This guide breaks down prompt injection, data poisoning,

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Building a Market Anomaly Detector: Volume Spikes, Wash Trading, and Alerts (Complete Guide)

Intermediate Track /

Building a Market Anomaly Detector: Volume Spikes, Wash Trading, and Alerts (Complete Guide) Building a Market Anomaly Detector is the fastest way to stop getting surprised by the same three enemies: sudden volume spikes, manufactured activity that looks real but is not, and late reactions when price already moved. This guide gives you a practical,

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Beginner to Using QuantConnect for Crypto Research and Backtests: Beginner Guide to Using QuantConnect for Crypto Research and Backtests

Beginner Track /

Beginner Guide to Using QuantConnect for Crypto Research and Backtests QuantConnect can feel intimidating at first because it sits at the intersection of code, market structure, and data engineering. This guide makes it simple: you will learn how to set up a safe research workflow, how crypto backtests lie when you ignore slippage and fees,

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Inference Compute Surge: AI Tools for On-Chain Demand Management

Applied AI /

inference • on-chain billing • gpu markets • ai agents • rate limits Inference Compute Surge: AI Tools for On-Chain Demand Management AI moved from “train a model once” to “run a model millions of times.” That shift is why inference is becoming the dominant operational bottleneck in AI infrastructure and why crypto builders increasingly

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AI Blockchain Security Revolution: On-Chain Tools to Prevent Exploits

Applied AI /

ai security • on-chain monitoring • exploit prevention • devsecops AI Security Revolution: On-Chain Tools to Prevent Exploits Smart contract exploits rarely start with “magic hacker skills.” They start with predictable engineering failures: missing access controls, unsafe upgrade paths, broken assumptions about pricing or reentrancy, blind admin powers, bad operational hygiene, and slow detection. The

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Real-Time On-Chain Aggregators: AI Tools for Data Fusion

Applied AI /

on-chain • real-time • aggregation • AI • data fusion Real-Time On-Chain Aggregators: AI Tools for Data Fusion Crypto used to be “slow enough” for dashboards that refresh every minute. That era is ending. Markets now reprice on a single on-chain message, a mempool cluster, or a cross-chain bridge event. The next competitive edge is

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Verifiable AI Compute: ZK Tools for Decentralized Training

Applied AI /

zkvm • zkml • provers • verifiable ai • decentralized training Verifiable AI Compute: ZK Tools for Decentralized Training AI is becoming a verification problem. The more models influence markets, governance, and financial systems, the more stakeholders demand proof that results were computed correctly, on the right data, with the right constraints. Zero-knowledge virtual machines

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