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onlyphantom committed Apr 22, 2024
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Expand Up @@ -53,13 +53,13 @@ If you're watching the LLM video tutorials, they may have very minor differences

I will try to keep this repo up to date with the latest version of the libraries, but if you encounter any issues, please: (1) raise a discussion through Issues or (2) volunteer a PR to update the code.

NOTE: `triton` package is supported only for the **x86_64** architecture. If you have problems with installing it, see the [triton compatibility guide](https://github.com/openai/triton?tab=readme-ov-file#compatibility). Specifically, errors like ```ERROR: Could not find a version that satisfies the requirement triton (from versions: none)
ERROR: No matching distribution found for triton```.
`uname -p` should give you the processor's name.


### Mentorship and Support
I run a mentorship program under [Supertype Fellowship](https://fellowship.supertype.ai). The program is self-paced and free, with a community of other learners and practitioners around the world (English-speaking). You can optionally book a 1-on-1 session with my team of mentors to help you through video tutoring and code reviews.

### License
MIT © [Supertype](https://supertype.ai) 2023


In a big data era increasingly defined by the velocity and volume of information, businesses are turning to streaming analytics to make sense of their data in real-time. Streaming data pipelines are designed for ingesting, processing, and analyzing data as it arrives from different sources, affording businesses the opportunity to act on the most up-to-date information available.

In this article, we’ll explore the benefits of streaming analytics and how to build an end-to-end streaming data pipeline using Apache Kafka, Apache Spark, Cassandra, MySQL, Streamlit and Docker.
MIT © [Supertype](https://supertype.ai) 2024

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