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Inference Scaling & Multi-Model AI Systems

Master advanced inference scaling techniques that combine multiple AI models for superior performance, achieving breakthrough results like 30% improvement on ARC-AGI-2 benchmarks.

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Learning Objectives

  • Understand advanced inference-time scaling methodologies
  • Learn multi-model collaboration and orchestration techniques
  • Master ARC-AGI-2 benchmarking and performance evaluation
  • Implement practical inference scaling systems
  • Apply ensemble methods for improved AI performance
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