To develop techniques using state-of-the-art AI methods to enrich the experience around LLM usage. Skills Required: Python, ML, DL, LLMs, Hugging Face, exposure to UI development Available Apply By30/09/23
Experiment with Java Mircroservice and create reusable flows using Watson X prompt engineering In progress
The main idea of this work is to explore regions where a given model does not work. Using this information, can we extract relevant feedback data that can be used to improve model's performance? In progress
The work would be around exploring the following: explore state-of-the-art NLP models such as BERT to fine-tune to infuse numeric semantics and use it to learn KGEs. Define novel scoring function to enhance predictions for Numerical Quantities which is not been explored in the literature. Hands-on experiments to explore limitations of current Knowledge Graph based QA methods and benchmark them. In progress