# Multi-source data fusion

Lumimaid 0.2 is a model based on Meta-Llama-3.1-70B-Instruct. Compared with version 0.1, there has been a huge improvement in the dataset. After data cleaning and optimization, it provides a better user experience.

A sentence embedding model fine-tuned on over 1 billion sentence pairs through self-supervised contrastive learning based on MiniLM-L12, capable of generating high-quality semantic vector representations

A sentence embedding model based on MiniLM architecture, trained on over 1 billion sentence pairs through self-supervised contrastive learning, capable of generating high-quality sentence vector representations

A RoBERTa-large based sentence embedding model trained on 1 billion sentence pairs through self-supervised contrastive learning for generating semantically rich sentence vector representations

A sentence embedding model based on MiniLM-L12 architecture, trained on over 1 billion sentence pairs through contrastive learning, capable of generating high-quality semantic vector representations

A sentence embedding model based on mpnet-base, trained on 1 billion sentence pairs through self-supervised contrastive learning, capable of generating high-quality semantic vector representations of sentences