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Announcing the winners of the Databricks Generative AI Hackathon

databricks

We’re excited to announce the Databricks Generative AI Hackathon winners. This hackathon garnered hundreds of data and AI practitioners spanning 60 invited companies.

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Creating a bespoke LLM for AI-generated documentation

databricks

We recently announced our AI-generated documentation feature, which uses large language models (LLMs) to automatically generate documentation for tables and columns in Unity.

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New Approaches For Detecting AI-Generated Profile Photos

LinkedIn Engineering

And as part of our ongoing work, we’ve been partnering with academia to stay one step ahead of new types of abuse tied to fake accounts that are leveraging rapidly evolving technologies like generative AI. With the rise of AI-generated synthetic media and text-to-image generated media, fake profiles have grown more sophisticated.

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Databricks Announces the Industry’s First Generative AI Engineer Learning Pathway and Certification

databricks

Today, we are announcing the industry's first Generative AI Engineer learning pathway and certification to help ensure that data and AI practitioners have.

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10 Practical Generative AI Examples to be More Productive

Edureka

Despite being the focal point of the current tech market, it won’t be wrong to say that most of us have yet to harness the full potential of generative AI. Especially when it comes to various implementations and examples of generative AI. So, what is the best way to utilise generative AI’s competencies?

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Ethical Considerations in Generative AI

RandomTrees

Generative Artificial Intelligence (AI) has turned into a progressive power, reshaping innovation and inventiveness. From creating text and pictures to making music, generative artificial intelligence has opened extraordinary potential outcomes. Ethical Implications of Generative AI: 1.

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Building a Data-Centric Platform for Generative AI and LLMs at Snowflake

Snowflake

Generative AI and large language models (LLMs) are revolutionizing many aspects of both developer and non-coder productivity with automation of repetitive tasks and fast generation of insights from large amounts of data. And second, with the power to be more pervasive than I can even imagine, is generative AI and LLMs.

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