LLM Foundations
Understand how large language models work — tokens, context windows, and inference.
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After this skill you can…
- Explain how transformers generate text
- Understand tokenisation and context limits
- Compare GPT-4, Claude, Gemini, Llama capabilities
Watch (10 videos)
GLM 5.3 Scaling: Unexpected Performance Findings
→ Improve LLM performance→ Scale LLM models→ Optimize LLM training
Qwen 3.8 vs Muse Glimmer vs Gemma 4 Coding Test
→ Compare LLM models→ Design games with LLMs→ Create UI with LLMs
CheapSeek: Can Cheap AI Replace the $200 Codex Plan? #shorts
→ Compare AI models→ Evaluate token pricing
China Just Dropped a Free AI That Beats Claude (+12 AI Updates)
→ Understand LLM basics→ Compare LLM models→ Evaluate LLM performance
AI Output Is Average By Design
→ Understand AI limitations→ Recognize the importance of human perspective→ Identify the role of taste in creative work
Two Limits No Model Has Escaped
→ Understand LLM limitations→ Apply RAG to overcome knowledge cutoff
Influencer marketing campaigns influence LLMs!!
→ Optimize influencer marketing campaigns using LLMs→ Increase campaign effectiveness with targeted keywords
China's GLM 5.2 vs Claude Code: Which AI Coder Wins?
→ Understand LLM foundations→ Apply LLMs to coding tasks
LLM Interview Series #6: What Is Grouped Query Attention?
→ Understand Grouped Query Attention→ Prepare for LLM infrastructure interviews
Claude Models Explained (Sonnet, Opus & Haiku)
→ Understand Claude's models→ Switch between models effectively→ Adjust effort settings for optimal results
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