What You'll Learn
- How Llama 4 works under the hood: architecture, tokenization, and attention
- How to set up a working Llama 4 environment using Google Colab and Hugging Face
- How to write powerful prompts—from zero-shot to few-shot examples
- Techniques to control tone, style, and response length in AI outputs
- How to troubleshoot prompt errors, repetition, and hallucinations
- How to compare Llama 4 with GPT-4, Claude, and other leading LLMs
- How to stay up to date with evolving LLM tools, communities, and research sources
Requirements
- For this course you need Basic familiarity with Python (no advanced coding needed)
- A free Google account to use Google Colab
- No prior experience with Hugging Face or Llama 4 required—everything is taught step-by-step
Who This Course is For
- AI enthusiasts and tech learners
- Machine learning engineers and data scientists
- Developers building LLM-powered apps
- Educators creating AI-driven content
Your Instructor
Anton Voroniuk
GenAI Expert, trusted by 900,000+ Students
4.4 Instructor Rating
44,661 Reviews
999,388 Students
132 Courses
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