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Become a LLM-ready Engineer | Maxime Beauchemin (Airflow, Preset)

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Manage episode 418204874 series 2838288
Content provided by Ronak Nathani, Guang Yang, Ronak Nathani, and Guang Yang. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ronak Nathani, Guang Yang, Ronak Nathani, and Guang Yang or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

If you’ve worked on data problems, you probably have heard of Airflow and Superset, two powerful tools that have cemented their place in the data ecosystem. Building successful open-source software is no easy feat, and even fewer engineers have done this back to back. In Part 1 of this conversation, we chat about how to adapt to the LLM-age as engineers.

Segments:

(00:01:59) The Rise and Fall of the Data Engineer (00:11:13) The Importance of Executive Skill in the Era of AI (00:13:53) Developing the first reflex to use AI (00:17:47) What are LLMs good at? (00:25:33) Text to SQL (00:28:19) Promptimize (00:32:16) Using tools LangChain (00:35:02) Writing better prompts

Show Notes:

- Max on Linkedin: https://www.linkedin.com/in/maximebeauchemin/ - Rise of the Data Engineer: https://medium.com/free-code-camp/the-rise-of-the-data-engineer-91be18f1e603 - Downfall of the Data Engineer: https://maximebeauchemin.medium.com/the-downfall-of-the-data-engineer-5bfb701e5d6b - Promptimize: https://github.com/preset-io/promptimize

Stay in touch:

👋 Make Ronak’s day by leaving us a review and let us know who we should talk to next! [email protected]

  continue reading

55 episodes

Artwork
iconShare
 
Manage episode 418204874 series 2838288
Content provided by Ronak Nathani, Guang Yang, Ronak Nathani, and Guang Yang. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ronak Nathani, Guang Yang, Ronak Nathani, and Guang Yang or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

If you’ve worked on data problems, you probably have heard of Airflow and Superset, two powerful tools that have cemented their place in the data ecosystem. Building successful open-source software is no easy feat, and even fewer engineers have done this back to back. In Part 1 of this conversation, we chat about how to adapt to the LLM-age as engineers.

Segments:

(00:01:59) The Rise and Fall of the Data Engineer (00:11:13) The Importance of Executive Skill in the Era of AI (00:13:53) Developing the first reflex to use AI (00:17:47) What are LLMs good at? (00:25:33) Text to SQL (00:28:19) Promptimize (00:32:16) Using tools LangChain (00:35:02) Writing better prompts

Show Notes:

- Max on Linkedin: https://www.linkedin.com/in/maximebeauchemin/ - Rise of the Data Engineer: https://medium.com/free-code-camp/the-rise-of-the-data-engineer-91be18f1e603 - Downfall of the Data Engineer: https://maximebeauchemin.medium.com/the-downfall-of-the-data-engineer-5bfb701e5d6b - Promptimize: https://github.com/preset-io/promptimize

Stay in touch:

👋 Make Ronak’s day by leaving us a review and let us know who we should talk to next! [email protected]

  continue reading

55 episodes

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