AI Foundations
How LLMs Work
Neural networks, LLMs, and machine learning for markets.
Бұл сабақта
- How large language models work
- What 'hallucination' means
Негізгі тұжырымдар
- 1An LLM predicts the next token from context
- 2It can sound confident yet be wrong
- 3Always verify AI output before acting on it
Сабақ қорытындысы
A large language model predicts likely next tokens from context.
Mental model
Getting LLMs straight
A large language model predicts likely next tokens from context. It can produce useful reasoning support, but it does not know truth the way a database query does.
- How large language models work
- What 'hallucination' means
Mechanics
How to reason about LLMs
Text is split into tokens and processed through a trained neural network.
The model generates output from statistical patterns and context.
Retrieval, tools, and verification improve reliability but do not remove the need to check.
- An LLM predicts the next token from context
- It can sound confident yet be wrong
- Always verify AI output before acting on it
Example
Seeing LLMs in action
An LLM can summarize a protocol document, but the user should still verify contract addresses, fee numbers, and risk claims from primary sources.
Common mistakes
How LLMs trips learners up
Fluent writing feels authoritative. That is dangerous in finance because a confident sentence can still be fabricated or outdated.
Risk notes
Reading the risk in LLMs
Hallucination, stale information, prompt injection, and hidden assumptions can lead to poor trading or security decisions.
- Explain next-token prediction.
- Identify one hallucination risk.
- Verify critical facts outside the model.
Practice
Turn LLMs into a habit
- Explain next-token prediction.
- Identify one hallucination risk.
- Verify critical facts outside the model.
Қайталау
Негізгі терминдер
- Large Language Model (LLM)
- An AI model trained to predict and generate text from context.
- Machine Learning
- Algorithms that learn patterns from data instead of being explicitly programmed.
- Neural Network
- A layered model loosely inspired by the brain, core to deep learning.
- Backtesting
- Testing a strategy on historical data before risking real capital.
Дерек көздері
Редакциялық сілтемелер
Бұл сілтемелер осы сабақтың артындағы механизмдерді, тәуекел тексерулерін және өнім контекстін растау үшін бастапқы нүктелер болып табылады.
Жалғастырмас бұрын
Мұны орындай аласыз ба?
- Explain next-token prediction.
- Identify one hallucination risk.
- Verify critical facts outside the model.
Байланысты оқу материалдары
Оқуды жалғастыру
Checkpoint
Бұл сабақты аяқтау
Прогресті сақтау үшін тексеруден өтіңіз, содан кейін жолды ретпен жалғастырыңыз.
Бұл сабақты бекіту
Сабақты аяқтау үшін барлық сұрақтарға дұрыс жауап беріңіз.
A large language model predicts…