We divide this work into three modules - (a) Training Data Validation - goal here is to gain knowledge about the graphql, and then validate training samples that we have created. (b) Leaderboard - This is new emerging area - so, can we create leade

test

A program that can discover images and video files in a given data storage device/filesystem and help classify the discovered content in various classification categories- PII, Sensitive, Confidential etc. Possibly use ML to improve the accuracy of

Connected assets are the assets that are together involved in performing one or more business processes. If vulnerability/threat on one of the assets is exploited, because of the connectedness - it could lead to failures or disruptions to assets it i

Populate and enrich a benchmark of tabular data tasks for evaluation of LLMs with our evaluation framework. Primary work includes tasks and datasets selection, writing data loaders, preparing task cards with input/output details and pre-processing st

The project aims to explore the impact of Dynamic In-context learning approach for Generative MultiModal LLM and develop algorithm to enhance the LLM performance through representation learning approach.

To determine the Handwriting of a user to analyze PSYCHOLOGICAL behaviour

Design a data pipeline to ingest data from REST APIs. Ensure you use a REST client and a mechanism to schedule batch data processing using cron expressions. The Data Pipeline should include,  Data extraction from API’s/Db2 table.  Loading data t

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