How We Revolutionized Information Extraction using LLMs in Just Two Weeks!

Hasan Ali Naqvi
4 min readApr 8, 2024

Introduction

Two years ago, a client approached us with the challenge of extracting company names and related industries from newspaper articles. Despite initial attempts using classical NLP methods, success eluded us. However, with the emergence of Large Language Models (LLMs), we achieved remarkable results in just two weeks. This blog delves into our journey of leveraging LLMs for efficient information extraction, showcasing our ability to adapt to cutting-edge technologies and exceed client expectations.

Tagging and Information Extraction

Large Language Models (LLMs)

LLMs represent a breakthrough in the field of natural language processing (NLP). These models, are designed to understand and generate human-like text. With their vast parameter sizes, ranging from millions to billions, LLMs have the capacity to process immense volumes of text data with remarkable accuracy and efficiency. They have become indispensable tools for a wide range of NLP tasks, including language translation, sentiment analysis, and text summarization.

Types of LLMs

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Hasan Ali Naqvi

Tech Entrepreneur building weya.ai 🚀. Educating 1k+ enterprises to implement AI 🤖. Sharing insights 💡 and success stories 📈 for growth and efficiency.