Initially, XLSCOUT explored proprietary AI models for patent analysis, but found that these closed-source models, such as GPT-4 and text-embedding-ada-002, struggled to capture the nuanced context required for technical and specialized patent claims. (View Highlight)
By integrating open-source models like BGE-base-v1.5, Llama 2 70B, Falcon 40B, and Mixtral 8x7B, and fine-tuning on proprietary patent data with guidance from Hugging Face, XLSCOUT achieved more tailored and performant solutions. This shift allowed for a more accurate understanding of intricate technical concepts and terminologies, revolutionizing the analysis and understanding of technical documents and patents. (View Highlight)
