How to use aI to summarize large PDF or Documents – ChatDoc tutorial

PDF and large document readers have become increasingly popular in recent times, offering solutions to the challenge of digesting vast amounts of information. Chat Doc is one such reader, aiming to address the limitations faced by language models like Chat GPT, Google’s Bard, and Bing chat, which struggle to process extensive data sets. In this article, we will delve into the features and capabilities of Chat Doc, examining its potential as a tool for leveraging generative AI in exploring public company filings and other lengthy documents.

Unveiling Chat Doc

The Main Screen

Upon launching Chat Doc, users are greeted by the main screen, which serves as the starting point for their document analysis journey. To access the full functionality, an account setup prompt is presented, and currently, registration is free. The interface provides a user-friendly experience, allowing users to seamlessly navigate through the application’s features.

Uploading and Analyzing Documents

Users can upload various PDFs or large documents into Chat Doc for analysis. Once uploaded, the system initiates the document analysis process, working tirelessly to extract valuable insights. During this time, users are presented with a progress indicator, informing them of the analysis status.

In the demonstration provided, the speaker uploads Airbnb’s 10K report from the previous year. Even though the analysis is still ongoing, it showcases the capabilities of Chat Doc in handling substantial documents efficiently. The speaker notes the timestamp, indicating that approximately nine minutes have passed since the analysis began.

Document Management and Privacy

In the document management section of Chat Doc, the speaker notices the presence of additional documents that they did not load. The origin and purpose of these documents remain uncertain. As a precautionary measure in the realm of generative AI, where privacy concerns can arise, it is advisable to utilize public or generic documents when testing such systems. This approach ensures the preservation of privacy and minimizes potential risks.

Probing the Capabilities of Chat Doc

Crafting Complex Prompts

The speaker proceeds to present a complex prompt, seeking to extract a comprehensive description of Airbnb’s business model. Rather than a simple request, the prompt incorporates key characteristics of a business model, challenging Chat Doc to provide a detailed response.

Partial Results and Resource References

Although the analysis is yet to be completed, Chat Doc offers partial results, attempting to address the prompt’s requirements. What sets Chat Doc apart is its inclusion of reference points within the document. By highlighting relevant sections, such as page 22 discussing the business and page five focusing on the brand, Chat Doc provides users with resources to explore further.

Uncovering Key Business Metrics

Next, the speaker queries Chat Doc about Airbnb’s key business metrics and their most recent numbers, comparing them to the previous year. By using the term \”key business metrics\” in the prompt, the system accurately identifies and presents the desired information. This feature enhances efficiency and enables users to extract pertinent data efficiently.

Beyond Simple Queries: Interpretation and Analysis

To challenge Chat Doc’s ability to interpret information and deliver nuanced responses, the speaker formulates a question seeking an evaluation of Airbnb as a potential investment. By incorporating factors like potential high return on investment (ROI) and interpreting various aspects, the prompt demands a more comprehensive analysis. Chat Doc responds by acknowledging the need for a comprehensive assessment, emphasizing the significance of factors such as stock ownership, the impact of COVID-19, and the requirement for a thorough analysis to make informed investment decisions.

Narrative Analysis: Describing Company Culture

In a final test, the speaker aims to assess Chat Doc’s capability to synthesize various concepts and describe the culture of Airbnb based on its brand, management language, and other relevant information. Although the prompt goes beyond explicit mentions in the document, Chat Doc rises to the challenge. It impressively combines information about Airbnb’s values, the management’s emphasis on these values, and their unique characteristics. The response showcases Chat Doc’s ability to compile information and deliver insightful analyses.

Conclusion

Chat Doc presents an exciting solution for processing large documents, including public company filings, with the power of generative AI. Its interface, document management features, and ability to provide valuable insights demonstrate its potential as a valuable tool for researchers, analysts, and individuals seeking to extract meaningful information from extensive texts. While there is room for further exploration and improvement, Chat Doc’s initial performance proves promising. As we continue to witness advancements in generative AI, tools like Chat Doc open new avenues for leveraging technology in the realm of document analysis and exploration.