Creating AI Assistants with GPT-4o
Build AI Assistants to Search, Summarize, and Analyze Research Papers with GPT-4o
Created by DataLab, Jeroen Hermans
Explore how to create an AI assistant using GPT-4o that can search, summarize, and analyze research papers from ArXiv. You'll learn to automate information retrieval and extract key insights, making research much faster and more efficient. By the end, you'll have a working assistant to streamline your academic workflow.
DataLab | Mar 2025 | 37 min
What You Will Learn
You will follow a clear, step-by-step walkthrough that covers everything from setting up your API key to uploading documents and creating a vector store. Each step is demonstrated in detail, so you can build and run your own assistant for retrieving and summarizing research papers. The process is hands-on and practical, focusing on real-world application.
Key Features
- Build an AI assistant to search and summarize academic research papers
- Automate document analysis and extract key insights from large text collections
- Integrate OpenAI's Assistants API for efficient research workflows
Target Audience
Ideal for intermediate programmers who are comfortable with Python and have some experience with APIs and AI concepts. If you want to automate research tasks or streamline academic workflows, you'll find practical value here. Prior knowledge of machine learning or NLP is helpful but not required to get started.
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