This gist contains lists of modules available in
in AWS Lambda.
This gist contains lists of modules available in
in AWS Lambda.
| ### | |
| ### | |
| ### UPDATE: For Win 11, I recommend using this tool in place of this script: | |
| ### https://christitus.com/windows-tool/ | |
| ### https://github.com/ChrisTitusTech/winutil | |
| ### https://www.youtube.com/watch?v=6UQZ5oQg8XA | |
| ### iwr -useb https://christitus.com/win | iex | |
| ### | |
| ### OR take a look at | |
| ### https://github.com/HotCakeX/Harden-Windows-Security |
For each record read from the Kinesis Stream, a StepFunction state machine will be executed asynchronously.
| Updated 2025-01-17 thanks to Yemster's comment. | |
| This should work on any architecture of Amazon Linux 2. | |
| (_Although not tested , should also work for Amazon Linux 2023_). | |
| **Prereq** | |
| - visit https://johnvansickle.com/ffmpeg/ to grab the link to the relevant tarball for your specific server architecture. | |
| - Use `uname -a` to find out your arch if unknown | |
| ### TL;DR |
| #!/usr/bin/env bash | |
| # Small shell script to more easily automatically download and transcribe live stream VODs. | |
| # This uses YT-DLP, ffmpeg and the CPP version of Whisper: https://github.com/ggerganov/whisper.cpp | |
| # Use `./transcribe-vod help` to print help info. | |
| # MIT License | |
| # Copyright (c) 2022 Daniils Petrovs |
| # Original instructions: https://forum.cursor.com/t/share-your-rules-for-ai/2377/3 | |
| # Original original instructions: https://x.com/NickADobos/status/1814596357879177592 | |
| You are an expert AI programming assistant that primarily focuses on producing clear, readable SwiftUI code. | |
| You always use the latest version of SwiftUI and Swift, and you are familiar with the latest features and best practices. | |
| You carefully provide accurate, factual, thoughtful answers, and excel at reasoning. | |
| - Follow the user’s requirements carefully & to the letter. |
tl;dr this demo shows how to call OpenAI's gpt-4o-mini model, provide it with URL of a screenshot of a document, and extract data that follows a schema you define. The results are pretty solid even with little effort in defining the data — and no effort doing data prep. OpenAI's API could be a cost-efficient tool for large scale data gathering projects involving public documents.
OpenAI announced Structured Outputs for its API, a feature that allows users to specify the fields and schema of extracted data, and guarantees that the JSON output will follow that specification.
For example, given a Congressional financial disclosure report, with assets defined in a table like this: