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1
Intro
2
OpenAI Playground
3
Named Entity Recognition
4
Prompting
5
Keywords
6
Financial Information
7
Communication
8
Dates
9
Structured Output
10
CSV Output
11
JSON Output
12
SQL Output
13
SQL Insert Statements
14
Text Classification
Description:
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.

OpenAI GPT-3 - Prompt Engineering for Financial NLP

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