
Eric Peter
Articles
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Nov 13, 2024 |
databricks.com | Naveen Rao |Matei Zaharia |Patrick Wendell |Eric Peter
Monolithic to ModularThe proof of concept (POC) of any new technology often starts with large, monolithic units that are difficult to characterize. By definition, POCs are designed to show that a technology works without considering issues around extensibility, maintenance, and quality. However, once technologies achieve maturity and are deployed widely, these needs drive product development to be broken down into smaller, more manageable units.
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May 23, 2024 |
plantengineering.com | Jane Andrew |Chris Vavra |Alejandro Meza |Eric Peter
Learning ObjectivesUnderstand why modeling is important for tribology. Learn about future tribological models and what they can do for tribology and lubrication. Tribology insightsHistorically limited by senses, modern research employs computer modeling to explore phenomena, transforming engineering by simulating intricate tribological interactions previously inaccessible.
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May 22, 2024 |
plantengineering.com | Alejandro Meza |Chris Vavra |Eric Peter |Andrea Aikin
Learning ObjectivesUnderstand the role lubrication plays in keeping machinery well-run and efficient. Understand how choosing the right lubricant for a facility or operation can affect the bottom line and reduce overall costsLubrication insightsThe lubricants a company chooses can have a significant impact on high-visibility and high-value line items such as energy, labor and equipment costs.
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May 22, 2024 |
plantengineering.com | Chris Vavra |Alejandro Meza |Eric Peter |Andrea Aikin
Jack McKenna, an industry veteran from Sea-Land Chemical to lead STLE as president for 2024-25 as part of their focus on the tribology and lubrication community.
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May 21, 2024 |
databricks.com | Sergei Tsarev |Oliver Chiu |Akhil Gupta |Eric Peter
Following the announcement we made around a suite of tools for Retrieval Augmented Generation, today we are thrilled to announce the general availability of Mosaic AI Vector Search in Databricks. What is Mosaic AI Vector Search? Vector Search enables developers to improve the accuracy of their Retrieval Augmented Generation (RAG) and generative AI applications through similarity search over unstructured documents such as PDFs, Office Documents, Wikis, and more.
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