After the release of Claude2, there is a notable function. It supports the upload of pdf, txt and other documents, and directly includes ChatPDF, ChatDOC, and ChatWeb into the range. The moat of this batch of vertical products is instantly broken by Claude2. This is the impact of dimensionality reduction. Claude2 has stronger capabilities in human feedback evaluation than previous versions.
This article will take out the PDF document and talk about it separately. I will talk about the processing of Claude2's PDF document from the following aspects:
single document parsing
Multiple document merge analysis
PDF document content dialog
English document analysis
single document parsing
Find an AI research report and use Claude2 to analyze it. 
When communicating with PDF documents, in addition to the content of the document, Cluade appropriately expands the output of the content, and is not limited to the original text in the PDF file.
Interpretation of English documents
This is a Claude model document released when the Claude2 press release was officially released, with a total of 14 pages and full text. Let's use Claude2 to interpret it to see how accurate it is.
https://www-files.anthropic.com/production/images/Model-Card-Claude-2.pdf
Continuing to expand on one of these points, unlike ChatPDF and other products, Claude2 cannot mark the document page where the data source is located. 
Then find the written records of the original text and make a comparison, which is basically consistent.
Multi-document parsing
I found three research reports on AI talents, "The Rise of AI, Workplace Change and Human Adaptation", "2023 AIGC Talent Trend Insight Report", "2023 Generative AI Cognition and Use Research Report" [To get these three research reports, just reply to AIGC on the official account], and gave it to Claude2 to interpret and see if it can meet our expectations.
Synthesize the content of these three documents, extract common viewpoints, and output a summary of about 800 words.
Based on the content of the three documents, I extracted and summarized the following common points:
Generative AI technology is developing rapidly, especially the emergence of ChatGPT has led to a blowout growth of related technologies and products. Awareness and usage of generative AI by general consumers is high.
The main user groups of generative AI are young white-collar workers, who are highly educated and mainly work in first-tier and new first-tier cities. AI products are mainly used in all aspects of their work and life.
Consumers generally believe that generative AI has advantages in improving work efficiency and saving time, but its advantages in intelligence and innovation are not obvious. The practicability of AI products needs to be further improved. Data security and model interpretability are also user concerns.
AI is expected to automate a lot of repetitive work, but it may also have an impact on the job market and social structure, and there are problems such as algorithm discrimination and ethical risks. Therefore, it is necessary to strengthen supervision and guide the healthy development of technology.
In the future, generative AI may further replace some white-collar jobs, but high-level management and professional skills jobs will be relatively less affected. Lifelong learning and continuous improvement of one's own competitiveness will become an important way to deal with AI.
Consumers generally have a positive attitude towards the development of AI, believing that it will continue to develop rapidly. Content generation, voice interaction and other functions have broad application prospects in life and work.
Different age groups have different attitudes and concerns about AI. Young people value AI's innovative potential more, while middle-aged people are more concerned about its impact on society and employment.
It can be seen that after analyzing the three documents, Claude2 summarizes the same views in the three documents and finds the intersection output of the views. Compared with products such as ChatPDF, which only supports one file at a time, three files per day, and a total of 50 conversations, Claude2 is simply hitting them hard.
For PDF, I only tried the functions of the above four aspects, you can also try it with Claude2 to see how the processing power is.
https://claude.ai/ access address
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