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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Main Author: | Christian Samudra, Vito |
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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 |
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