A developer has successfully fine-tuned a 2-billion parameter decision model to play the game Doom on a Mac using the MLX framework. The model, trained on approximately 3,000 frames, was able to achieve an average of 23.2 kills over 20 episodes, demonstrating its capability in identifying and reacting to in-game threats. The open-source tool, mlx-decision, used for this project, allows for LoRA fine-tuning on Apple Silicon Macs and is available via pip install. AI
IMPACT Demonstrates the potential for smaller, specialized models to perform complex tasks on consumer hardware.
RANK_REASON Developer fine-tuned an existing model architecture for a specific task (playing a game) using an open-source tool.
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