GPT-4.5, like its predecessor GPT-4, is capable of summarizing complex documents, including PDFs. However, its ability to accurately summarize PDFs with complex tables depends on several factors:
1. Input Quality and Complexity: GPT-4.5 can process text effectively, but its performance may be limited by the complexity of the tables and the overall structure of the PDF. If the tables are highly complex or if the PDF contains a lot of unstructured data, GPT-4.5 might struggle to accurately extract and summarize the information[4][7].
2. Prompting Strategy: The accuracy of the summary largely depends on how well the prompt is defined. A well-crafted prompt that specifies exactly what information should be extracted and summarized can significantly improve the output quality[1][4].
3. Limitations in Handling PDFs: GPT-4.5, like GPT-4, does not directly read PDFs but can process text copied from them. This means that users must manually copy and paste the content into the model, which can be time-consuming for large documents. Additionally, GPT-4 might not always process the entire document, especially if it is lengthy[7].
4. Data Extraction Capabilities: While GPT-4.5 can extract data from text, its ability to handle structured data like tables is not as robust as specialized PDF data extractors. For complex tables, using a dedicated tool might be more effective for extracting data accurately[6][8].
5. Human Oversight: Even with advanced models like GPT-4.5, human verification is essential to ensure the accuracy and relevance of the summary. This is particularly important when dealing with complex or technical content[3].
In summary, GPT-4.5 can be a useful tool for summarizing PDFs with complex tables, but its effectiveness depends on the quality of the input, the prompting strategy, and the need for human oversight to validate the output. For highly complex tables or structured data, specialized tools might be more appropriate.
Citations:
[1] https://www.reddit.com/r/ChatGPTPro/comments/13n55w7/highly_efficient_prompt_for_summarizing_gpt4/
[2] https://pmc.ncbi.nlm.nih.gov/articles/PMC11184879/
[3] https://generative-ai-newsroom.com/how-to-use-gpt-4-to-summarize-documents-for-your-audience-18ecfe2ad6a4
[4] https://www.evolution.ai/post/summarising-extracting-data-from-gpt-4
[5] https://cdn.openai.com/gpt-4-5-system-card.pdf
[6] https://clickup.com/blog/pdf-data-extractors/
[7] https://community.openai.com/t/what-are-the-limitations-of-gpt-4-in-analyzing-pdf-text/534760
[8] https://source.opennews.org/articles/testing-pdf-data-extraction-chatgpt/