If you want to get anything done, chances are you have to communicate with someone else. Transcripts are artifacts of our conversations with others and the ability to distill transcripts into short form summaries can unlock all kinds of previously unattainable analyses.
Customer support organizations can use summaries of conversations their customers have with their agents or chatbots to track evolving customer queries. They can even cluster these summaries to create visual representations of their customers’ needs. People can recap interviews with their favorite celebrities and role models to stay up to date with their lives. Economists can summarize interviews with key figures to keep up with rapidly shifting policy and news.
Modern large language models excel at creating high-fidelity abstractive summaries that can freely paraphrase source transcripts into easy to read text snippets with varying degrees of compression. These models are powerful but can be hard to set up and get started with. Forefront Summarize is an easy to use abstractive text summarization API that can generate high-quality dialogue summaries of any length. Using the API to summarize dialogue is easy and only requires two inputs:
Let’s see the Forefront Summarize API in action.
Interviews are often people’s favorite portions of TV shows and podcasts but with so many out there it can be daunting to try and keep up. Forefront Summarize can reduce entire interviews down to the most important points to give us what we need. Let’s use Forefront Summarize to summarize a 60 minute interview with Trevor Noah.
With a compression level of 5 we see over 80% of the character count replaced with the key facts of the interview. Imagine reading the insights from 5 interviews in the same time it would take to read the entire transcript of 1 interview.
Forefront can tackle dialogue summaries from nearly any field. Let’s use Forefront Summarize to sum up a recent interview with current Fed Chairman Jerome Powell.
The interview saw a reduction in character count by nearly 90% and still conveys the key economic points that Chairman Powell is trying to get across.
Forefront Summarize can transform a multi-turn dialogue between a customer and a customer support agent into a brief or longer-form summary by setting the desired compression level.
We can see that the lower compression level of 1 gives us more information about the customer’s sentiment where the highest compression level of 5 just gets straight to the point about what happened.
It’s clear from our examples that Forefront Summarize can summarize all kinds of dialogue from different domains. The possibilities with what we can do with Forefront Summarize are virtually limitless. Documentation for the Summarize API can be found here.
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