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Introducing AI Model Sharing with Databricks

databricks

Today, we're excited to announce that AI model sharing is available in both Databricks Delta Sharing and on the Databricks Marketplace. With Delta.

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Data Engineering Weekly #161

Data Engineering Weekly

2) Why High-Quality Data Products Beats Complexity in Building LLM Apps - Ananth Packildurai I will walk through the evolution of model-centric to data-centric AI and how data products and DPLM (Data Product Lifecycle Management) systems are vital for an organization's system. link] Nvidia: What Is Sovereign AI?

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Data Engineering Weekly #127

Data Engineering Weekly

The blog narrates the difference between deterministic and non-deterministic system design and the challenges of building LLM applications in production. link] The flow control in the LLM application is an exciting read, and a generalized programming model will emerge soon. Meta shares its ever-changing landscape of data engineering.

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Data Engineering Annotated Monthly – June 2022

Big Data Tools

They say that they are aiming to introduce a new API that will make it possible to work with Spark in a client-server manner. Recap of Databricks Machine Learning announcements from Data & AI Summit – This year’s Data & AI Summit was huge, and it was full of interesting announcements.

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Data Engineering Annotated Monthly – June 2022

Big Data Tools

They say that they are aiming to introduce a new API that will make it possible to work with Spark in a client-server manner. Recap of Databricks Machine Learning announcements from Data & AI Summit – This year’s Data & AI Summit was huge, and it was full of interesting announcements.

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Data Pipeline- Definition, Architecture, Examples, and Use Cases

ProjectPro

This blog will give you an in-depth knowledge of what is a data pipeline and also explore other aspects such as data pipeline architecture, data pipeline tools, use cases, and so much more. This would then take you to finalize the size of your centralized storage or data feed to machine learning models.

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The Future of Data Warehousing

Monte Carlo

In this blog post, we’ll look at six innovations that are shaping the future of the data warehousing, as well as challenges and considerations that organizations should keep in mind. Zero-copy data sharing 4. Integration of ML models and AI capabilities 6. Integration of ML models and AI capabilities 6.