Remove try-databricks
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Inside DBRX: Databricks’ Impressive Open Source LLM

Towards AI

Please give it a try by subscribing below: TheSequence U+007C Jesus Rodriguez U+007C Substack The best source to stay up-to-date with the developments in the machine learning, artificial intelligence, and data… thesequence.substack.com The open-source generative AI landscape is experiencing tremendous momentum.

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Start using Liquid Clustering instead of Partitioning for Delta tables in Databricks

Towards AI

Revolutionizing the way we organize the data, Databricks introduced a game-changer called Liquid Clustering in this year’s Data + AI Summit. Once the clustering is done, It can be triggered using the ‘Optimize’ command OPTIMIZE table_name; Liquid Clustering works on Databricks Runtime 13.3 Clustering keys can be defined in any order.

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How to Use Configuration files in databricks

Mlearning.ai

Check out on how to setup your own databricks community edition for experimentation. Submission Suggestions How to Use Configuration files in databricks was originally published in MLearning.ai How to use Data bricks Community Edition.

Python 52
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How To Use ChatGPT API for Direct Interaction From Colab or Databricks

Towards AI

This article is divided into three main sections: #1 Set up your OpenAI account & create an API key#2 Establish the general connection from Google Colab #3 Try different requests: text generation, image creation & bug fixing Please note: Although this tutorial was done in Google Colab (free), you may want to try other environments.

Python 98
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Azure service cloud summarized: Part I

Mlearning.ai

And, it is difficult to truly understand the functionalities if you do not read about it a lot and try it yourself. But, since I did not know Azure or AWS, I was trying to horribly re-code them by hand with python and pandas; knowing these services on the cloud platform could have saved me a lot of time, energy, and stress.

Azure 52
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Fivetran Modern Data Stack Conference 2023: Key Takeaways

Alation

Nearly every organization is trying to modernize and build out their modern data stacks,” Walker details. This presentation reflects the broader purpose of Alation’s recent integration announcement with dbt and Databricks – to ease self-service access and understanding across the modern data stack.

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How to manage an end-to-end machine learning project with MLflow? part 1

Mlearning.ai

It works with many platforms such as Databrick, Azure, and AWS. Have been trying many models and features but can’t track each model's performance. > MLflow has artifact storage. I want to access the model of others to try my own experiment. > It can be scaled to big data. It is open-source. Why use MLflow?