Webinar Recording
In this webinar session, we will unveil how Hume leverages GPT and LLMs to expedite intelligence analysis on extensive unstructured datasets, with a specific focus on law enforcement.
Our live demonstration will centre on the public judicial reports detailing a vast web of state corruption in South Africa, commonly known as the "state capture" or the Gupta Leaks. By employing OpenAI’s GPT (Generative Pre-trained Transformers), we will showcase how the model facilitates Named Entity Recognition (NER) and Relation Extraction (RE) to extract pertinent knowledge from these texts.
You will learn:
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Prompt Engineering Excellence
Use GPT to identify key elements crucial for Knowledge Graph creation, including entities and the relationships between them. -
LLMs in Action
Explore the use of Large Language Models (LLMs) for building Knowledge Graphs, including data cleaning and normalization processes -
Results Analysis
Investigate the central questions surrounding the Gupta Leaks:- How did the Guptas sustain corruption on this scale for an extended period without arousing suspicion?
- What were the complicit organizations linked to the Guptas?
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