Try our new research platform with insights from 80,000+ expert users

Disqover Assistant (Artificial Intelligence System)

Saurabh Jaiswal - PeerSpot reviewer
100 people affected
10 people managed
9 month project

Project Description

Disqover Assistant (Artificial Intelligence System)

• As a Python & AI expert I contributed to build and AI Assistant build on the top

of Disqover product which is used for research in Health Care Domain for

example clinical trials data, medical publications etc. this product is used by

clients like Johnson & Johnson, AstraZeneca

• DQ Assistant is based on Large Language Models which helps user to search

and explore during their research

• It provides capabilities like generation of DQ Query from natural language input

and summarizes unstructured text given by user.

Team Size : 5

Scripting Language : Python

Framework : OpenAI, ChatGPT, AWS, Microsoft Azure OpenAI, Flask

Tools Used : Kubernetes, Docker, Git, IntelliJ IDE, Dude, OpenLens

AI Techniques : LLM, Benchmarking, Embedding, Vectorization,

Prompt Engineering, Data Wrangling, Data Pip

Highlights

Under budget

Difficulties

Steep learning curve
  • Gent (VLG-BE)51.053.71667