Deploy the model for Batch Inference and model serving using Databricks Unity Catalog

Explore different fairness definitions in medical AI, the challenges of bias mitigation, and how these impact diagnosis accuracy and healthcare outcomes.

Discover how positive-sum fairness in medical AI allows for better performance without harming subgroups, challenging traditional fairness models.

We introduce LLaVA-Phi, a vision language assistant developed using the compact language model Phi-2.

The simple system I use

GPS signals are vulnerable to jamming, spoofing, and interference, leading to inaccuracies and inefficiencies.

Remember when the hardest problem in computer science was said to be cache invalidation and off-by-one errors?

We present several examples that demonstrate the remarkable generalization capabilities of LLaVA-Phi, comparing its outputs with those of the LLaVA-1.5-13B

If gold could be moved around like Bitcoin, using aeroplanes, this would pollute the planet more. But it would make us tougher humans.

We rigorously evaluated LLaVA-Phi using an extensive array of academic benchmarks specifically designed for multi-modal models.

How Empathy and Leadership Turned Team Productivity Issues Around

The Journey of hope

You have just boarded a bus headed nowhere, and I’m the driver. Welcome. Please, make yourself comfortable. Have a jolly ride and try not to fall off your seat. There are no stops on this route; we…

Let people be, and let yourself be.

Researchers in Poland have developed an open-source tool that improves the evaluation and comparison of AI used in natural language preprocessing.

Researchers in Poland have developed an open-source tool that improves the evaluation and comparison of AI used in natural language preprocessing.

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Researchers in Poland have developed an open-source tool that improves the evaluation and comparison of AI used in natural language preprocessing.