![\"Summarization](\"\/images\/summarizer-header.png\")
<\/p>\nSince this weblog was initially printed, I\u2019ve additionally launched the Distill CLI. You possibly can learn the observe up weblog put up<\/a> or tinker with the code on GitHub<\/a>.<\/em><\/p>\n As somebody who takes loads of notes, I\u2019m at all times looking out for instruments and techniques that may assist me to refine my very own note-taking course of (such because the Cornell Technique). And whereas I typically want pen and paper (as a result of it\u2019s proven to assist with retention and synthesis), there\u2019s no denying that expertise might help to reinforce our built-up talents. That is very true in conditions corresponding to conferences, the place actively collaborating and taking notes on the identical time will be in battle with each other. The distraction of trying right down to jot down notes or tapping away on the keyboard could make it arduous to remain engaged within the dialog, because it forces us to make fast selections about what particulars are necessary, and there\u2019s at all times the chance of lacking necessary particulars whereas attempting to seize earlier ones. To not point out, when confronted with back-to-back-to-back conferences, the problem of summarizing and extracting necessary particulars from pages of notes is compounding \u2013 and when thought-about at a gaggle degree, there’s important particular person and group time waste<\/a> in fashionable enterprise with a majority of these administrative overhead.<\/p>\n Confronted with these issues each day, my group \u2013 a small tiger group I wish to name OCTO (Workplace of the CTO) \u2013 noticed a chance to make use of AI to enhance our group conferences. They’ve developed a easy, and simple proof of idea for ourselves, that makes use of AWS providers like Lambda, Transcribe, and Bedrock to transcribe and summarize our digital group conferences. It permits us to assemble notes from our conferences, however keep centered on the dialog itself, because the granular particulars of the dialogue are robotically captured (it even creates a listing of to-dos). And as we speak, we\u2019re open sourcing the software, which our group calls \u201cDistill\u201d, within the hopes that others would possibly discover this handy as effectively: https:\/\/github.com\/aws-samples\/amazon-bedrock-audio-summarizer<\/a>.<\/p>\n On this put up, I\u2019ll stroll you thru the high-level structure of our challenge, the way it works, and provide you with a preview of how I\u2019ve been working alongside Amazon Q Developer<\/a> to show Distill right into a Rust CLI.<\/p>\n