Proof-of-concept shows fine-tuned small language models achieve adequate quality for real-time game content generation in a scoped RPG loop via retry-until-success and LLM-as-judge evaluation.
Instruction fine-tuning: Does prompt loss matter?arXiv preprint arXiv:2401.13586,
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Presents quantization, checkpointing, softmax approximation, and logits masking to achieve substantial peak memory reductions in LoRA fine-tuning of 3B LLMs.
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High-quality generation of dynamic game content via small language models: A proof of concept
Proof-of-concept shows fine-tuned small language models achieve adequate quality for real-time game content generation in a scoped RPG loop via retry-until-success and LLM-as-judge evaluation.
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Techniques for Peak Memory Reduction for LoRA Fine-tuning of LLMs on Edge Devices
Presents quantization, checkpointing, softmax approximation, and logits masking to achieve substantial peak memory reductions in LoRA fine-tuning of 3B LLMs.