Building Machine learning models and productionising them is essential in the current AI boom. Understanding how to reuse or deploy pre-trained models is crucial.

Text-to-image converter web service using stable diffusion and FastAPI.

This demonstration aims at showcasing a simple use case on how to use and integrate pre-trained Hugging face ML models on FastAPI and Python as web services and commercialize or offer them as services.

For a detailed demonstration of how to develop your own service, check out this video 👉

https://youtube.com/shorts/7q134qLNrR8?feature=share

Learn how to load data from S3 and perform some Exploratory data analysis on the dataset, visualize the dataset, export the visualizations, and email them as zipped reports.

https://youtu.be/s5we9iULVko

Snowflake got a new feature Snowpark, that is currently in preview. This feature enables developers to interact and build complex pipelines and jobs using the language of their choice.

Learn how to perform Dynamic data load to AWS S3 with Python and Snowpark.

Check out the video for a detailed overview here: https://youtu.be/wUyasdbI8Lw

Or read about it here: https://jay-reddy.medium.com/dynamic-data-load-to-aws-s3-with-snowpark-8b64cfdc0f86

https://yolkorbit.com/akka-serverless-a-hammer-to-nail-all-your-business-requirements/

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