Boston U’s Platpus Provides Quick, Cheap, and Powerful Refinement of LLMs, Achieving Top 1 in Open LLM Leaderboard

In a new paper Platypus: Quick, Cheap, and Powerful Refinement of LLMs, a Boston University research team presents Platpus, a family of fine-tuned and merged Large Language Models (LLMs) that achieves the first place in HuggingFace’s Open LLM Leaderboard by performing quick, cheap and powerful refinement of conventional LLMs.

ai artificial intelligence boston boston university deep-neural-networks family huggingface language language models large language large language model large language models llm llms machine learning machine learning & data science ml natural language processing open llm leaderboard paper platypus research research team team technology university university research