AI and LLM Fundamentals

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How LLMs Think – Understanding AI Output Mechanics

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19 Oct/25
Overview In this lesson, learners will understand how large language models (LLMs) generate text, the concept of token prediction, and basic strategies to control outputs like temperature, top-K, and top-P sampling. This is foundational knowledge to prepare for effective prompt engineering. Concept Explanation 1. LLMs as Prediction Engines Key Idea:…
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How LLMs Think – Understanding AI Output Mechanics

by 
19 Oct/25
Overview In this lesson, learners will understand how large language models (LLMs) generate text, the concept of token prediction, and basic strategies to control outputs like temperature, top-K, and top-P sampling. This is foundational knowledge to prepare for effective prompt engineering. Concept Explanation 1. LLMs as Prediction Engines Key Idea:…
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Meet the Modern AI Tools

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19 Oct/25
Overview In this lesson, you will learn: By the end, you will be able to use multiple AI tools effectively for productivity, creativity, and learning. Key Concepts Concept Explanation 1. ChatGPT / OpenAI 2. Claude (Anthropic) 3. Google Gemini 4. Dify / Notion AI Practical Examples Example 1 – ChatGPT…
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Inside Large Language Models (LLMs)

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19 Oct/25
Overview In this lesson, you will learn: By the end, you will understand the mechanics of LLMs and how they generate human-like text. Key Concepts Concept Explanation 1. Tokens 2. Transformers 3. Attention Mechanism 4. Next-Word Prediction Practical Examples Example 1 – Tokenization Example 2 – Next-Word Prediction Example 3…
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How Machines Learn

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19 Oct/25
Overview In this lesson, you will learn: By the end, you will understand the core ML process that powers AI and LLMs. Key Concepts Concept Explanation 1. How Machines Learn 2. Types of Machine Learning 3. Beginner-Friendly Strategies Practical Examples Example 1 – Predicting Grades (Supervised Learning) Example 2 –…
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