Easy AI Python Projects - Build a PDF Prompter App with Claude 3 Opus API

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Imdad Codes

Imdad Codes

3 ай бұрын

In this Easy AI Python Project, I show you how to build your own Research Paper PDF summariser app with Claude 3 Opus API and streamlit. We do all of this in Python and this is part of my Easy AI Python Project series so make sure you subscribe for more!
We'll start off by taking a detailed look at the documentation to understand the Claude AI model and check out the new prompt library. We will then build out this easy ai python project to interact with the Anthropic Claude 3 API. We will use the Claude 3 Opus model, but you can of course use Claude 3 Sonnet or Claude 3 Haiku too.
I'll also show you how you can build this as a streamlit python project. Streamlit is a library that lets you build UIs in Python. I'll have a dedicated streamlit python tutorial video coming out soon so keep an out eye for that.
This is the perfect tutorial for getting started with AI in Python. I love teaching Python with Projects so if that's something you're interested in, make sure you subscribe!
SYSTEM PROMPT LINK:
github.com/nhaouari/papersnap
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I'm Imdad, a startup founder and CTO in London, UK. I love making videos about life as a technical cofounder, teaching people to code through cool programming projects and productivity.
I even teach Python tutorials as it is a great programming language that's used by the likes of Google, Facebook, Twitter, Quora and pretty much every big tech company you can name.
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Пікірлер: 10
@TheHistoryCode125
@TheHistoryCode125 3 ай бұрын
This video is a tutorial on building a Python application that uses the new Claude 3 AI model to summarize research papers. The creator walks through the key steps, including setting up the development environment, using the Streamlit library to create the user interface for uploading PDFs, and leveraging the Anthropic Python SDK to interact with the Claude API. The real value lies in the "system prompt" used to instruct Claude on how to extract insights from the research paper. Rather than relying solely on the main prompt, the creator emphasizes the importance of a well-crafted system prompt to get high-quality, structured summaries. The video also touches on key API parameters like model selection, token limits, and temperature, providing guidance on how to tune them for optimal results. While the tutorial is focused on summarizing research papers, the creator notes that the same approach can be adapted for other types of PDFs depending on your specific use case. Overall, it provides a solid foundation for anyone looking to build their own AI-powered document summarization tool using state-of-the-art language models like Claude. The creator could have dived deeper into prompt engineering best practices and trade-offs, but what's covered is still very useful and practical.
@shopdat
@shopdat 2 ай бұрын
great summary
@imdadcodes
@imdadcodes 2 ай бұрын
What AI did you use to generate this?
@Costa173
@Costa173 3 ай бұрын
Amazing content
@tushizzle254
@tushizzle254 15 күн бұрын
How about if one wants to provide a txt or pdf related to a certain topic and make a webpage that one prompts on question related to the topic and gets answers related to the document the developer used in short no dropping your own document as a user
@aisprint
@aisprint 2 ай бұрын
Great tutorial! Thanks! BTW, could I ask where is a link for system prompt text?
@imdadcodes
@imdadcodes Ай бұрын
Added now :)
@thegoodguy2023
@thegoodguy2023 3 ай бұрын
Leaving here a comment so that I can watch this video later
@topgfx6640
@topgfx6640 3 ай бұрын
Give us the code please :(
@akshatanand6919
@akshatanand6919 2 ай бұрын
wheres the code.?
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