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Understanding Large Language Models (LLMs)

Understanding Large Language Models (LLMs)

Dive into the world of large language models (LLMs) like GPT. This course breaks down how these models are trained, how they generate text, and their role in shaping AI-powered tools and applications.

Learning Objectives:

  1. Learn the principles behind large language model architecture and training.
  2. Explore use cases for LLMs, from chatbots to creative content generation.
  3. Identify limitations and ethical concerns associated with LLM usage.


Private Course
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Responsible Kodecoon AI (Hazel)
Last Update 12/06/2024
Completion Time 11 minutes
Members 144
AI Content Creation Supporting Module 🧠Theory / fundamentals
  • Foundations of Large Language Models
    4Lessons · 5 min
    • What are Large Language Models (LLMs)?
    • Key Components of Large Language Model Architecture
    • How LLMs Are Trained: Datasets, Pretraining, and Fine-Tuning
    • Test yourself!
      10 xp
  • How LLMs Generate Text
    3Lessons ·
    • The Mechanics of Text Prediction: Probabilities and Token Sequences
    • How GPT Creates Coherent Sentences: Real-World Examples
    • Test yourself!
      10 xp
  • Applications of LLMs in Everyday Life
    4Lessons · 3 min
    • Chatbots: Customer Service, Personal Assistant and More
    • What are AI Chatbots?
      10 xp
    • Creative Content Generation: Stories, Poems, and Coding Assitance
    • Test yourself!
      10 xp
  • Challenges and Limitations of LLMs
    5Lessons · 3 min
    • Understanding Biases in Training Data and Their Effects
    • What is AI Hallucination?
    • Common Errors: Hallucination, Misinterpretation, and Out-of-Scope Tasks
    • Why LLMs Sometimes Struggle with Complex Reasoning
    • Test yourself!
      10 xp
  • Ethics and Responsible Use of LLMs
    3Lessons ·
    • Ethical Concerns: Misinformation, Privacy, and AI Misuse
    • Critical Thinking When Interacting with AI Tools
    • Discuss! How can we use LLMs responsibly?