Cerbero-7B: A Leap Forward in Language-Specific LLMs Through Enhanced Chat Corpus Generation and Evaluation

• URL: http://arxiv.org/abs/2311.15698v1
• Date: Mon, 27 Nov 2023 10:34:55 GMT
• Title: Cerbero-7B: A Leap Forward in Language-Specific LLMs Through Enhanced Chat Corpus Generation and Evaluation
• Authors: Federico A. Galatolo, Mario G.C.A. Cimino
• Abstract summary: This study introduces a novel approach for generating high-quality, language-specific chat corpora using a self-chat mechanism. We generate an Italian chat corpus and the Fauno corpus, which is based on English ChatGPT self-chat data. The Italian LLM fine-tuned with these corpora demonstrates significantly enhanced language comprehension and question-answering skills.
• Score: 0.5967382410041416
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: This study introduces a novel approach for generating high-quality, language-specific chat corpora using a self-chat mechanism. We combine a generator LLM for creating new samples and an embedder LLM to ensure diversity. A new Masked Language Modelling (MLM) model-based quality assessment metric is proposed for evaluating and filtering the corpora. Utilizing the llama2-70b as the generator and a multilingual sentence transformer as embedder, we generate an Italian chat corpus and refine the Fauno corpus, which is based on translated English ChatGPT self-chat data. The refinement uses structural assertions and Natural Language Processing techniques. Both corpora undergo a comprehensive quality evaluation using the proposed MLM model-based quality metric. The Italian LLM fine-tuned with these corpora demonstrates significantly enhanced language comprehension and question-answering skills. The resultant model, cerbero-7b, establishes a new state-of-the-art for Italian LLMs. This approach marks a substantial advancement in the development of language-specific LLMs, with a special emphasis on augmenting corpora for underrepresented languages like Italian.

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