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Will generative AI live up to its hype?

IBM Journey to AI blog

Many larger businesses and local governments have already successfully adopted gen AI to answer some of their challenges, whether to facilitate the analysis of customer data , enhance customer care , or improve knowledge modeling efficiency. “How can we operationalize AI if you’re already behind on trust?

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Best practices to build generative AI applications on AWS

AWS Machine Learning Blog

The computational cost alone can easily run into the millions of dollars to train models with hundreds of billions of parameters on massive datasets using thousands of GPUs or TPUs. Launched in 2017, Amazon SageMaker is a fully managed service that makes it straightforward to build, train, and deploy ML models.

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Copyright, AI, and Provenance

O'Reilly Media

Any of these prompts might generate book sales—but whether or not sales result, they will have expanded my knowledge. Models that are trained on a wide variety of sources are a good; that good is transformative and should be protected.

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Anthropic Claude 3.5 Sonnet ranks number 1 for business and finance in S&P AI Benchmarks by Kensho

AWS Machine Learning Blog

1,614,762 $1,625,687 $1,586,008 Domain knowledge Models must demonstrate an understanding of business and financial terms, practices, and formulae. Simon Zamarin is an AI/ML Solutions Architect whose main focus is helping customers extract value from their data assets.

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The Hallucination Problem of Large Language Models

Mlearning.ai

When Contextual Knowledge Conflicts with the Parameteric Knowledge : Models have been shown to prioritize the parametric knowledge (acquired during pre-training) over the contextual knowledge which leads to hallucinations.