APPLICATION OF STARTUP SUCCESS PREDICTION MODELS AND BUSINESS DOCUMENT EXTRACTION USING LARGE LANGUAGE MODELS TO ENHANCE DUE DILIGENCE EFFICIENCY (CASE STUDY: LIVING LAB VENTURES)

Startups face extreme uncertainty and high failure rates, making the identification of potential startups a challenge for investors. This research leverages Large Language Model (LLM) and Machine Learning (ML) technologies developed using the Team Data Science Process (TDSP) methodology. The main...

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Bibliographic Details
Main Author: Christian Samudra, Vito
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/85142
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Institution: Institut Teknologi Bandung
Language: Indonesia