Zephyr: Direct Distillation of LLM Alignment

The ability and performance of smaller, open large language models have advanced significantly in recent years, and we have witnessed the progress from early GPT-2 models to more compact, accurate, and effective LLM frameworks that make use of a considerably larger amount of tokens that the “compute-optimal” amount of tokens recommended by the Chinchilla scaling […]

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advanced alignment artificial intelligence compute distillation frameworks gpt gpt-2 language language models large language large language models llm performance progress tokens zephyr