Biomedical Entity Recognition

I'm seeking a skilled AI/ML specialist to undertake a pivotal project aimed at enhancing the precision and utility of biomedical research through entity recognition. This project will leverage large language models to accurately identify and categorize key biomedical entities, although specific entity types have not been singled out, indicating a broad scope of interest. Key Requirements: - Train 4 large language models on a comprehensive biomedical dataset. - Focus models to specialize in entity recognition within biomedical texts. - Achieve an accuracy rate within the range of 90-95%. Ideal Skills and Experience: - Proficiency in AI/ML technologies, specifically with experience in NLP (Natural Language Processing). - Previous work with entity recognition projects, preferably within the biomedical sector. - Strong background in training and fine-tuning large language models. - Familiarity with biomedical datasets and the ability to discern relevant entities, even though specific types (e.g., Diseases, Medications, Genes/Proteins) haven't been pinpointed. - Problem-solving skills and attention to detail, ensuring high accuracy levels in model outcomes. This project presents an incredible opportunity to contribute to advancements in biomedical research, making complex data more accessible and actionable. If you have the expertise in building sophisticated AI models and a passion for making a real-world impact, I look forward to receiving your bid and discussing how you can contribute to this pioneering endeavor.