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
Using Chainstack in a Safe Research Workflow: Setup, Limits, and Common Mistakes (Complete Guide) Using Chainstack in a Safe Research Workflow matters because blockchain research becomes fragile very quickly when your data source, RPC assumptions, rate limits, key handling, logging habits, and AI automation are not designed deliberately. Many people connect a managed node provider, […]
Evaluation Harness for LLM Outputs: Implementation Guide + Pitfalls Evaluation Harness for LLM Outputs is one of the most important topics in applied AI because a language model is only as useful as the way you measure it. Teams often obsess over prompts, temperature, context windows, and model choice, then quietly ship without a serious
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Anomaly Detection for On-Chain Treasury: Practical Approaches (Complete Guide) Anomaly Detection for On-Chain Treasury is not about chasing flashy dashboards or pretending that every outlier is an attack. It is about building a structured system that spots behavior that deviates from treasury expectations before that deviation becomes loss, governance confusion, accounting drift, or operational embarrassment.
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Using Blockpit in a Safe Research Workflow: Setup, Limits, and Common Mistakes (Complete Guide) Using Blockpit in a Safe Research Workflow is not about treating one dashboard as the final source of truth. It is about placing a portfolio and tax-tracking platform inside a structured process that includes source verification, reconciliation, labeling discipline, privacy awareness,
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 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 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) 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) 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,
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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