AI Street Fighter - A NEW Way To Test LLMs (Tutorial)
🆕 from Matthew Berman! Witness large language models battle in real-time gaming like never before! Discover how OpenAI GPT 3.5 Turbo outperforms GPT 4. #AI #Gaming.
Key Takeaways at a Glance
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Testing large language models in real-time gaming is innovative.01:48
Evaluating large language models requires speed, intelligence, adaptability, and resilience.03:03
Installation of LLM Coliseum involves setting up an emulator and API keys.
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1. Testing large language models in real-time gaming is innovative.
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Using large language models to power characters in real-time games like Street Fighter 3 presents a novel way to test these models against each other.
- LLM Coliseum allows for real-time decision-making by large language models.
- Models counter, block, and perform actions based on their programming.
- Speed plays a significant role in determining the success of large language models in gaming.
2. Evaluating large language models requires speed, intelligence, adaptability, and resilience.
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Successful large language models need to be fast, smart, adaptable, and resilient to outperform opponents in real-time gaming scenarios.
- Fast decision-making is crucial in real-time games like Street Fighter 3.
- Models must think multiple moves ahead and employ unexpected strategies.
- Adaptability and resilience are key traits for large language models to succeed.
3. Installation of LLM Coliseum involves setting up an emulator and API keys.
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03:03
To install LLM Coliseum, one needs to configure an emulator, obtain API keys from platforms like OpenAI and Mistal, and set up the necessary environment.
- Emulator usage allows for testing large language models in gaming environments.
- API keys from platforms like OpenAI and Mistal enable model integration for real-time gaming.
- Proper setup ensures smooth functioning of the LLM Coliseum project.
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