- TAU Group
- TAU Group
Below are some of our current projects
The aim of this project is to develop a specialized RAG system that will serve as a bridge between animal science and human nutrition. The system is designed to provide a comprehensive and accurate solutions with citations, to queries related to animal science and human nutrition by referencing a vast array of scientific literature. Various techniques like RAG, Dense (vectors) & Sparse (BM25) retrieval, and LLMs from Ollama will be employed to achieve this goal.
PI: Luis O. Tedeschi, Jian Tao, Robert Strong, Karun Kaniyamattam
Collaborators: Texas A&M Institute of Data Science, Department of Agricultural Leadership, Education, and Communications, Department of Animal Science
Technologies: Retrieval-Augumented Generation, Large Language Models
Members: Dheeraj Mudireddy
The aim of this project is to develop algorithms and their embodiment in prototype software to implement the categorization. The software will accept as input the project information and produce as output a profile summarizing the documents relevance to each topic e.g. through a numerical score in each topic, and analysis of the frequencies of keywords in each topic, together with a summary of the set of proposals.
PI: Jian Tao
Collaborators: Texas A&M Division of Research, Texas A&M Institute of Data Science, Department of Visualization
Technologies: Natural Language Processing, Research, Compliance, Biosafety
Members: Revanth Reddy, Sreekiran Prasad Vadaga, Harikrishnan Raghukumar
A recommendation system that captures the opportunities for pursuing external research funds through grants, contracts, and subcontracts based on the scholar’s research profile. RDash-Grants entails analyzing a massive set of solicitations and funding opportunities and selecting the most appropriate one or group of relevant grants by considering the scholar’s preferences and research profile.
PI: Jian Tao
Collaborators: Texas A&M Division of Research, Texas A&M University Libraries, Texas A&M Institute of Data Science
Technologies: Natural Language Processing, Recommender Systems
Members: Revanth Reddy, Sreekiran Prasad Vadaga, Harikrishnan Raghukumar
