Raghavan Muthuregunathan@raghavan848

Problem: GPT (and other large language models) are english centric. Although they understand a lot of languages, they are less accurate in instruction following in other languages. The vocabulary limit of GPT is limited and cannot handle all the world languages effectively When the prompt is not in english, GPT responses are 2X slower. Opportunity: A middleware AI layer , that translates prompts between any language and GPT, without having to retrain GPT to instruction follow in the target language Business opportunity: Opens up prompt engineering outside of English. Opens up GPT (or other LLM) to be effectively used by 1 billion non english speakers across the globe. https://docs.google.com/presentation/d/1pTw-u-xJt_L8Y8l2y5KZSdaMGJq0BiLAbxhkYhfKQ74/edit?usp=sharing

We are trying to solve the following two problems for a beginner researcher 1. (Identifying prominent Authors) Embarking on a research journey in a new domain can be daunting. One of the pivotal first steps involves identifying and understanding the foundational works and prominent authors in that particular field. This use case addresses the pressing need of novice researchers to quickly and efficiently find the leading authors and seminal papers in their area of interest. 2. (Learn the basics) Technical jargons are an intrinsic part of any scientific discipline. They facilitate precise communication among experts but can be a major hurdle for beginners. This use case caters to the immediate need of newcomers to decode these specialized terms, understand their meanings, and relate them to familiar concepts through analogies.

Researchers often read a long paper but are often stuck in INNOVATORS block. They need INSPIRATION and Falcon can help provide a CRAZY Idea. Sometimes LLM hallucination can help in providing the inspiration. This tool has index 16415 arxiv articles from August 2023 User has to input arxiv article ID - Tool would summarize the paper in few bullet points - Propose a CREATIVE next step for future research - Choose an ORTHOGONAL FIELD and proposes how the findings of the paper can be applied. In summary, this should help any researcher get INSPIRATION on to WHAT TO DO NEXT as innovation happens when DOTS are connected across orthogonal fields Demo: https://huggingface.co/spaces/Raghavan1988/falcon-lablabai-hackathon-brainstorming-buddy-for-researchers