📮 Maildrop 12.03.24: How can AI algorithms be designed to learn and adapt over time?

The things to know about AI | Tools for the next generation of enterprises in the AI era

Algorithm changes can be a double-edged sword for organizations, bringing potential enhancements and hindrances. It's important to be aware of the potential challenges and take steps to mitigate them:

The impact of an algorithm change depends on the specific organization and its goals. Careful planning and evaluation are crucial to ensure the benefits outweigh the drawbacks.

Change management plays a vital role. Organizations need to effectively communicate the purpose of the change and provide training and support to help employees adapt.

Continuous monitoring of algorithms is essential to identify and address emerging issues like bias or performance degradation.

▸ This part follows the previous maildrop: Why you need more than just “Large Language Models,” where we covered the essential point: “LLMs have dominated the AI landscape due to their ability to achieve state-of-the-art performance across various natural language tasks.”

Now, we'd like to understand the impact of using artificial intelligence, which has immense potential but has significant downsides and high risks.

How can AI algorithms be designed to learn and adapt over time?

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