Summarize meeting transcript

One of the frequently used templates at Relevance is Summarize meeting transcript. This Tool receives the transcription of a meeting along with information such as meeting agenda and objectives, and produces a summary including all the noted items.

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How to use the Tool

Locate the Tool in the template page and click on Use template. You can use the Tool as is or clone it.

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Tool inputs and output

The Tool requires four main inputs:

1. Transcription
2. Meeting context & agenda
3. Names of participants
4. Data to extract Provide the main inputs and hit Run once, you will see the LLM response in a few seconds.

The output is a summary focusing on all the specified points.

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Tool execution

Tools and templates can be

• tested on individually provided inputs:

  • Single run on the App page
  • Single run on the Build page
  • Single run on the data table

• set to fetch the data from a dataset and apply the analysis on the whole dataset:

  • Bulk run on the data table

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Tool components

If you clone a template, or make a Tool from scratch, you will have access to the Build tab. Build is where one put together different components to build a Tool suitable for their needs.

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User inputs

1. Long text input: An input text component suitable for long text pieces (more than one line), such as answers to a question, reviews, a text to summarize.

   This component is to provide the transcription and is of type long tex inputs.

2. Text input: An input text component suitable for short text pieces, such as name, topic, a question.

   This component is to briefly overview the meeting agenda and is of Text input type.

3. Table: A component for entering structured data as input, for instance, rows of samples, each containing fields such as name, last name and age.

   This component is used twice both for providing names and roles of the people in the recording and to specify the objectives, goals and focus points for summarization.

   • Enter the names and roles (Use unknown if the data is not available)
   • Enter the data you wish to extract along with a brief explanation

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Tool steps

There is only 1 LLM component under the Tool steps in this analysis flow.

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Large Language Model (LLM)

A large language model component is all set up to provide you access to GPT (and many other LLMs). In the prompt section, you will provide the required information as well as instructions to what is expected to be done.

A Good Prompt

1. Be short and precise with your instruction/request from the LLM
2. Note the goals and important instructions closes possible to the end of the prompt
3. Specify a data scope using ", """ or similar identifiers
4. Include formatting instruction when necessary