Large Language Model (LLM)
A large language model is an AI model trained on large amounts of data to process and generate language and other structured outputs.
✦ Key Insight
LLMs are increasingly used for crypto research, coding, support, analysis, documentation, and automation, but their outputs still require verification.
✕ Common Misconceptions
LLM output can contain false information, outdated information, missing context, or fabricated details. Never treat generation alone as evidence.
Detailed Explanation
In Practice
Dig Deeper
Due Diligence
Due diligence is the process of investigating and verifying important information before making a decision or taking financial risk.
Research Framework
A research framework is a repeatable structure for collecting evidence, testing claims, comparing risks, and reaching a documented conclusion.
Hallucination (AI)
An AI hallucination is an output that presents incorrect, unsupported, or fabricated information as though it were valid.
Prompt Engineering
Prompt engineering is the practice of designing instructions and context to help an AI model produce more useful and reliable outputs.