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Getting specific with GenAI: How to fine-tune large language models for highly specialized functions

CIO

Things get quite a bit more complicated, however, when those models – which were designed and trained based on information that is broadly accessible via the internet – are applied to complex, industry-specific use cases. The key to this approach is developing a solid data foundation to support the GenAI model.

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Next Best Action Marketing: How to Implement Hyper-Personalization with Machine Learning

Altexsoft

But how do we know which customer to reach out, and when is the right moment to do so? In this article, we’ll discuss what the next best action strategy is and how businesses define the next best action using machine learning-based recommender systems. That’s the trend other specialists are mentioning too.

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NJ Transit creates ‘data engine’ to fuel transformation

CIO

Aside from his own plans, Fazal is also engaged with CIOs and CTOs of partner agencies on several 10-to-15-year projects that involve purchasing new trains, building new tracks, and designing the proposed new tunnel between New York and New Jersey to add additional tracks. We have shown out value,” Fazal says of the transformation. “We

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Fine tune a generative AI application for Amazon Bedrock using Amazon SageMaker Pipeline decorators

AWS Machine Learning - AI

In this post, we show you how to convert Python code that fine-tunes a generative AI model in Amazon Bedrock from local files to a reusable workflow using Amazon SageMaker Pipelines decorators. Generative AI models are constantly evolving, with new versions and updates released frequently.

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Should you build or buy generative AI?

CIO

But you want to adopt them to avoid competitive disadvantage, especially as they often arrive as new features in applications that staff already know how to use. In the shaper model, you’re leveraging existing foundational models, off the shelf, but retraining them with your own data.”

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Buying advice for CIOs as low-code/no-code spending rises

CIO

Faced with a long-running shortage of experienced professional developers, enterprise IT leaders have been exploring fresh ways of unlocking software development talent by training up non-IT staff and deploying tools that enable even business users to build or customize applications to suit their needs.

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Length of Stay in Hospital: How to Predict the Duration of Inpatient Treatment

Altexsoft

This article describes how data and machine learning help control the length of stay — for the benefit of patients and medical organizations. Length of stay calculation for hospitals: how machine learning can enhance results. Today, we can employ AI technologies to predict the date of discharge. Here is a ?ouple

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