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OpenAI GPT-3 - Prompt Engineering for Financial NLP

Part Time Larry via YouTube

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Overview

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Learn to craft effective prompts for OpenAI's GPT-3 model to perform various natural language processing tasks in the financial domain. Explore techniques for data extraction, named entity recognition, keyword identification, and financial information retrieval. Discover how to create prompts for text classification, sentiment analysis, and structured output generation in CSV, JSON, and SQL formats. Gain practical skills in prompt engineering to enhance financial data analysis and communication using advanced language models.

Syllabus

Intro
OpenAI Playground
Named Entity Recognition
Prompting
Keywords
Financial Information
Communication
Dates
Structured Output
CSV Output
JSON Output
SQL Output
SQL Insert Statements
Text Classification

Taught by

Part Time Larry

Reviews

4.0 rating, based on 2 Class Central reviews

Start your review of OpenAI GPT-3 - Prompt Engineering for Financial NLP

  • Profile image for Prathmesh Patmase
    Prathmesh Patmase
    OpenAI GPT-3 Prompt Engineering for Financial NLP demonstrates how carefully designed prompts can significantly improve the accuracy and relevance of AI-generated financial insights. It enables efficient tasks such as sentiment analysis, financial report summarization, risk assessment, and information extraction from complex documents. By providing clear instructions and structured prompts, users can obtain consistent and high-quality outputs, saving valuable time for analysts and researchers. However, results still depend on the quality of prompts and should always be verified using reliable financial data. Overall, it is a valuable approach for enhancing productivity and decision-making in modern financial analysis.

  • Profile image for Leonardo Ranalli Cuevas
    Leonardo Ranalli Cuevas
    that was usefull for understand a basic form to use chatGPT, we have a lot of form to take data of a text. Good course and very short.
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