Category: video
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Fun with AWS Fargate
I was finally able to get the Streamlit app for the transcription approach to work with AWS Fargate. It was a LOT more complicated than I initially expected. It all […]
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MLOps with AWS Lambda
At this meetup we walked through an exercise to try and put the speech to text application into a docker container and attach it to an AWS Lambda function that […]
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Speech to Text with Hugging Face Wav2Vec
This meetup covered an approach for using Hugging Face transformers to convert audio files to text transcriptions. We also went through an approach using DeepSpeech, but did not see any […]
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Fine-tuning DistilGPT2 and Generating Text
We have some really exciting stuff to cover this week! Even folks that aren’t into the in-depth side of AI should be interested to see how well this can be […]
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GitHub Runners (Part 2)
This week we will continue our journey to set up hosted runners with GitHub. Hopefully we’re successful with getting this off the ground this week. Related links:Product Recommendation repoGitHub RunnersSecurity […]
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GitHub Runners (Part 1)
This week we will attempt to configure and connect a remote runner using Amazon AWS and connect it to GitHub to perform actions on the Product Recommendation repository. Nothing like […]
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Community Support with Little Orange Fish
This week we will have Daniel Adamek, Executive Director of Little Orange Fish present their “Here for You” initiative. We will brainstorm AI related ideas that may help them accomplish […]
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Intro to Hugging Face
This week we will begin a series that covers Hugging Face and transformers provided through their community-driven approach. This will be one of the first times that we’ve covered Hugging […]
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Continuing (again) MLOps with Kedro Pipelines
This week we will continue our continuation of our MLOps series by looking at the pipeline approach for machine learning operations. We will complete the Kedro for the implementation framework […]
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Continuing MLOps with Kedro Pipelines
This week we will continue our MLOps series by looking at the pipeline approach for machine learning operations. In our case, we will use Kedro for the implementation framework and […]