2
1
United States
3 years of experience
AI Engineer - M.Sc. Computer Science '24 || Recent Publication: NeurIPS '24: Hybrid Context Retrieval Augmented Generation Pipeline: LLM-Augmented Knowledge Graphs and Vector Database for Accreditation Reporting Assistance (https://arxiv.org/abs/2405.15436) || Interests: Information Retrieval (Knowledge Graphs, Vector DBs), AI Agents, LLMs, AI Ethics and Sustainability, Solutions Engineering and DevRel
Utilized IBM granite instruct and code models to extract themes and relationships from documents. Intuitive visual representation of document data Easily identify key themes and connections for research and analysis Downstream tasks: Recommendation Systems Data Integration Semantic Search Industries: Education Finance Policy More… Successfully extracted themes and relationships using Granite model and generated Cypher queries for knowledge graph generation in Neo4j Challenges: Given the non-deterministic nature of LLMs Granite code instruct does not always generate a valid query. Future Work: Refining prompts for better/ more predictable and structured outputs from model