AI

Your Data, Your Agent: Making Databricks Work with the AI of Your Choice

It’s about choice. And it’s powerful. I attended a training session today on setting up Databricks Genie Agents. Someone asked a great question: As you use the agent and chat with it, does it learn? The short answer was “no.” Sure, there’s a feedback loop that users and agent authors can participate in, but the

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Bringing Your AI Work Home — Setting Up for Local LLMs

In today’s world of AI innovation, having the power to run large language models (LLMs) locally is becoming increasingly valuable. Whether you’re a researcher, developer, or AI enthusiast, bringing your AI work home means taking control of your environment, data privacy, and workflow efficiency without relying on cloud services. With advancements in GPU technology and

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Building a Natural Language Processing Pipeline with Python: A Hands-On Workshop for Named Entity Recognition

If you’ve ever needed to label your data for downstream AI, you know how tedious and error-prone manual tagging can be. Fortunately, with the help of Python and NLP tools like spaCy, you can automate this process and even train a model that understands your domain. In this workshop, you’ll build a system that classifies

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