Artificial intelligence (AI) is polarizing. It excites the futurist and engenders trepidation in the conservative. In my previous post, I described the different capabilities of both discriminative and generative AI, and sketched a world of opportunities where AI changes the way that insurers and insured would interact. This blog continues the discussion, now investigating the …
With Amazon SageMaker, you can manage the whole end-to-end machine learning (ML) lifecycle. It offers many native capabilities to help manage ML workflows aspects, such as experiment tracking, and model governance via the model registry. This post provides a solution tailored to customers that are already using MLflow, an open-source platform for managing ML workflows. …
Read more “Securing MLflow in AWS: Fine-grained access control with AWS native services”
The partnership aims to provide practical and real-world applications of generative AI across industries for data-driven decision-making.Read More
From hair tools and coffee machines to iPad accessories and game subscriptions, we have a pick for every type of mom and mom figure.
As AI becomes increasingly realistic, our trust in those with whom we communicate may be compromised. Researchers at the University of Gothenburg have examined how advanced AI systems impact our trust in the individuals we interact with.
Researchers at the University of California, Berkeley, say ChatGPT has memorized a large number of copyrighted works and that inclusion of such data can introduce bias to analytics conducted with OpenAI models.
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TL;RD There is no more excuse not to have a great marketing plan. Prompt: “Craft a marketing plan in the style of Allan Dib’s 1-Page Marketing Plan for our AI blog.” This is the prompt we used – simply replace “AI blog” with your product or service to generate a plan suitable to your product(s) …
Traditional scaling approaches to building machine learning models will fail as we run out of data for them. Several techniques may help.Read More
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