Lecture Summarizer
Making longform content digestible
Last updated
Making longform content digestible
Last updated
The Lecture Summarizer is URSI.ai's flagship feature, designed to enhance the student learning experience by creating comprehensive summary outlines of material, regardless of length. This could be a 15-minute YouTube video, a 1.5-hour lecture, or a 7-hour podcast.
The following is an example of URSI in action, processing a full 1.5-hour All-In podcast episode. They discuss the potential and risks of AI, regulation, and the state of San Francisco. As is the case with most of their episodes, this one is quite dense, with plenty of arguments and data points that an avid listener would likely notate.
This video, without any pre-processing (simply the video link) was given to URSI, and within three minutes, a markdown-formatted outline was generated, along with an associated oil-pastel image, both rendered into the following PDF.
The Lecture Summarizer is built on top of a few finely-tuned proprietary machine-learning models that allow URSI to synthesize content, without time/size limitations, unlike traditional summary tools which rely solely on GPT LLMs.
That said, we recognize the enormous power of the latest GPT models, so we certainly did not want to discard them altogether, despite their input/output limitations. So, we managed to rely on our parsing mechanisms while still leveraging the power of GPT-4 to generate highly accurate and well-written summary components. In this section, we will provide an in-depth description of the Lecture Summarizer, explain its underlying technology, and guide students on how to use it effectively.
Due to the technical limitations of large language models, AI-powered summary tools typically face token constraints. To address this challenge, URSI.ai has developed proprietary algorithms that seamlessly integrate with GPT-4. This unique approach enables the Lecture Summarizer to process large amounts of information and generate cohesive summaries without compromising on accuracy or readability.
To get started with the Lecture Summarizer, follow these steps:
Log in to your URSI.ai account.
Navigate to the Lecture Summarizer feature.
Upload or provide a link to the lecture or material you want to summarize.
Adjust the desired summary length and other preferences, if needed.
Initiate the summarization process and wait for the results. You may leave the page once this has started. Depending on the length of your content, processing can take between 20 seconds and 8 minutes.
Once URSI has processed the material, you will receive a well-structured and concise summary that you can use for revision, note-taking, or any other academic purpose. You'll see it on the dashboard of your Lecture Summarizer tool. You may now click on it to view and export your content, or to speak with URSI directly via the chatbot to "talk to your lecture". Ask anything that was covered in the material, and URSI will answer for you. If you veer off topic, URSI will respectfully remind you to target your questions to the underlying content.
Several content formats are available for you to submit your material. Although the options below are presently supported, we are continuously developing compatibility with additional input formats to ensure a higher likelihood of processing content from your preferred sources through URSI.
Audio files (iPhone recordings, video downloads, etc.)
YouTube videos
PDF files (books, textbooks, essays, research papers, articles, etc.)
Websites (URLs)
With many more on the way.
The Lecture Summarizer offers numerous benefits to students, including:
Saving time and effort by condensing lengthy lectures and materials into manageable summaries.
Enhancing comprehension and retention of key concepts and ideas.
Providing a convenient way to review material before exams or assessments.
Facilitating collaboration and discussion among students by generating shareable summaries.
Enabling customization to suit individual learning styles and preferences.
By leveraging the cutting-edge technology behind the Lecture Summarizer, students can optimize their learning experience and achieve better academic outcomes.