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Tag: accuracy

Databricks Sees Compound Systems as Cure to AI Ailments

Databricks today unveiled a series of enhancements to its Mosaic AI stack that is aimed at addressing some of the challenges that customers face building GenAI systems, including accuracy, toxicity, latency, and cost. At Read more…

Top Five Reasons Why ChatGPT is Not Ready for the Enterprise

With all the excitement over ChatGPT, why have so many businesses, including Apple, Amazon, Verizon, JP Morgan Chase, Deutsche Bank, Northrup Grumman, Samsung, and Accenture banned its use? This reluctance is primarily d Read more…

Leveraging GenAI and LLMs in Financial Services

Data and large language models (LLMs) can save banks and other financial services millions by enhancing automation, efficiency, accuracy, and more. McKinsey reports that the productivity lift from generative AI can lead Read more…

Maximizing AI’s Impact with Master Data Management

When data or IT leaders invest in an AI solution, one of their goals is likely to make their organization’s data more actionable and accessible. However, research suggests many employees feel there is room for improvem Read more…

Media Roundup: GPT-4’s Big Debut

Just two years ago, nobody outside of a small group of AI researchers and practitioners knew what a “large language model” was. But thanks to the launch of ChatGPT in November, everybody and her cat is an LLM expert Read more…

Lowering Precision Does Not Mean Lower Accuracy

It is important to understand the difference between accuracy and precision in the context of Neural Networks. It’s a tricky concept because, at face value, the words are very similar. Most people would assume that pre Read more…

Focus Your AI on Business Value, Not Predictive Accuracy, Aible Says

If you're building your machine learning models to optimize accuracy, then you're probably doing it wrong. That's the message coming from Aible, an ML company that emerged from stealth today with new software designed to Read more…

Enterprise AI and the Paradox of Accuracy

As more organizations begin to experiment with AI in their internal operations, an interesting paradox is developing. The best way to think about the state of AI is that it behaves as a very powerful “mimic.” If you Read more…

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