GPT-4 vs GPT-3：零训练集临床信息提取和财务报告问答

Table of Contents

1. Introduction
2. Use Case 1: Extracting Entities from Medical Documents
3. Use Case 2: Question Answering on Financial Reports
4. Comparison of GPT 3.5 and GPT 4
5. Conclusion
6. Pros and Cons of Using GPT 4 for Information Extraction
7. FAQs

Article

Introduction

Welcome to my Channel! In this video, we will explore the capabilities of GPT (Generative Pre-trained Transformer) models, specifically GPT 3.5 and GPT 4. As an AI enthusiast, I subscribed to Chat GPT Plus to gain access to GPT 4 and compare its performance with GPT 3.5. We will dive into two specific use cases: extracting entities from medical documents and question answering on financial reports. Let's see how these models perform and which one offers better results.

Use Case 1: Extracting Entities from Medical Documents

One of the primary applications of AI in the medical field is extracting valuable information from medical documents. In this use case, I will provide a medical document and use GPT 4 to extract diseases and symptoms from the text. With GPT 3.5, I will perform the same task for comparison.

To extract the entities, I will use the prompt "Extract clinical information: diseases and symptoms from the below medical text" and save the output in a JSON file. By comparing the results from GPT 3.5 and GPT 4, we can assess their performance in medical entity extraction.

The results indicate that GPT 4 provides more specific and accurate results compared to GPT 3.5. While GPT 3.5 is faster in generating responses, GPT 4 directly generates a JSON file with the extracted entities. GPT 4 successfully identifies additional diseases like hyperthyroidism, which were missed by GPT 3.5. It proves that both models can be utilized for clinical information extraction, although further experiments are required to evaluate their accuracy fully.

Use Case 2: Question Answering on Financial Reports

Another exciting application of GPT models is question answering on financial reports. In this use case, I will use GPT 4 and GPT 3.5 to answer questions Based on a specific section of a financial report. This task involves extracting key information such as revenue, net margin, and shareholder payout from the given text.

By providing the appropriate text and questions, both GPT 4 and GPT 3.5 can answer questions related to revenue growth, shareholder payout, and other financial metrics. However, GPT 4 demonstrates greater specificity and accuracy in providing the exact values of revenue and shareholder payout in different currencies. GPT 3.5 tends to be less specific in its responses.

Comparison of GPT 3.5 and GPT 4

Based on the two use cases, GPT 4 appears to outperform GPT 3.5 in terms of specificity and accuracy. While GPT 3.5 is faster in generating responses, GPT 4 provides more precise results. GPT 4's ability to generate a JSON file directly for entity extraction and its better understanding of financial metrics make it a more advanced model for various information extraction tasks.

Conclusion

In this video, we explored the use of GPT 3.5 and GPT 4 for medical entity extraction and question answering on financial reports. Both models showcased their strengths and weaknesses in these specific tasks. GPT 4 demonstrated better performance and accuracy compared to GPT 3.5. It showed promising results for clinical information extraction as well as financial question answering. Further experiments and evaluations can help us uncover the full potential of these models in information extraction tasks.

Pros and Cons of Using GPT 4 for Information Extraction

Pros:

• GPT 4 offers more specific and accurate results compared to GPT 3.5.
• It generates a JSON file directly for entity extraction, saving time and effort.
• GPT 4's understanding of financial metrics makes it a valuable tool for financial analysis and question answering.

Cons:

• GPT 4 may be comparatively slower in generating responses than GPT 3.5.
• The performance and accuracy of GPT 4 in information extraction tasks may require further evaluation and experimentation.

FAQs

Q: Which model, GPT 3.5 or GPT 4, is better for medical entity extraction? A: GPT 4 provides more accurate and specific results compared to GPT 3.5 in medical entity extraction tasks.

Q: Can GPT 4 generate a JSON file directly for entity extraction? A: Yes, GPT 4 can generate a JSON file directly, making the process more efficient.

Q: Does GPT 3.5 perform better in terms of response generation speed? A: Yes, GPT 3.5 is faster in generating responses compared to GPT 4.

Q: In which use case did GPT 4 demonstrate better performance, medical entity extraction, or question answering on financial reports? A: GPT 4 showed better performance in both use cases, providing more accurate results and understanding the context more effectively.