How Good is Llama-4, it’s Complicated!
AI Summary
Summary of YouTube Video (ID: T2Mt9CyjdKQ)
- Introduction to Meta’s Llama 4 Maverick
- Special version for chatbot arena with performance score of ELO 1417.
- Best performance-to-cost ratio in experimental chat.
- Benchmarks and Performance
- Ader Polyglot coding benchmark: Llama 4 Maverick scored 16%, worse than some competitors.
- Comparison with models like Quinn 2.5 coder (32 billion parameters).
- Testing Process
- Various tests to evaluate coding and reasoning abilities.
- Utilizing Meta.ai version and third-party hosting on Open Router for testing.
- Coding Tests
- Encyclopedia Project: Generated code for Pokémon encyclopedia with placeholder image URLs initially; required adjustments for completion.
- TV Channel Simulation: Attempted to create a P5JS project. Encountered issues with animation reuse and creativity.
- Complex Animation Request: Aimed for realistic physics in pockets; struggled with maintaining conditions.
- Reasoning Tests
- Modified versions of famous thought experiments showcased superior reasoning abilities, particularly in nuanced language interpretations.
- Modified Trolley Problem: Demonstrated logical reasoning by accurately interpreting the scenario.
- Monty Hall and Schrödinger’s Cat Problems: Successfully corrected and addressed specifics leading to logical conclusions.
- Conclusion
- Llama 4 Maverick shows decent performance for instructions but lacks in creativity for complex coding tasks.
- Exhibits potential for reasoning tasks, marking it as a reasonable choice for non-reasoning applications.
- Future video planned to explore context windows of Llama 4 Maverick and Scout.