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Datta Kharad agregó una foto Networking
2026-07-24 06:39:39 -

AI Engineer Data: Building RAG, NL2SQL and GenAI Pipelines on Databricks and Azure
The role of an AI Engineer is changing quickly. It is no longer limited to training machine learning models or experimenting with prompts. Modern AI engineers are expected to build complete, production-ready data and generative AI systems that connect enterprise information, cloud platforms, analytics tools, and large language models. For organisations using Databricks and Microsoft Azure, this...

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Datta Kharad agregó una foto Networking
2026-08-07 10:07:33 -

AI Engineer — Data: RAG, NL2SQL & GenAI Pipelines on Databricks/Azure
Generative AI is changing the way organizations interact with data. Instead of depending entirely on dashboards, predefined reports, or manual searches, users increasingly expect to ask questions in natural language and receive useful answers almost immediately. Making that experience work reliably, however, requires much more than connecting an application to a large language model. This is...

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Datta Kharad agregó una foto Networking
2026-07-21 06:58:35 -

Securing RAG Pipelines Against Data Poisoning
Retrieval-Augmented Generation, commonly known as RAG, has become one of the most practical ways to improve the accuracy and usefulness of generative AI systems. Instead of relying only on information learned during model training, a RAG application retrieves relevant content from external sources and provides it to a large language model before generating a response. This approach allows...

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2026-08-08 10:38:41 -

Microsoft DP-750 Exam: A Practical Guide to Azure Databricks Data Engineering
Modern organizations rely heavily on scalable data platforms to collect, process, govern, and analyze information. Azure Databricks provides a powerful environment for building data engineering solutions, making practical knowledge of the platform increasingly valuable for data professionals. The Microsoft DP-750 Exam focuses on implementing data engineering solutions with Azure Databricks....

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