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Will generative AI live up to its hype?

IBM Journey to AI blog

A recent report published by Goldman Sachs has fueled a new debate around generative AI’s business value. Titled “Gen AI: Too much spend, too little benefit,” the report presents a contrasting view on what the technology currently delivers, approximately two years after its initial boom. and GDP growth by a mere 0.9%

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Best practices to build generative AI applications on AWS

AWS Machine Learning Blog

Generative AI applications driven by foundational models (FMs) are enabling organizations with significant business value in customer experience, productivity, process optimization, and innovations. In this post, we explore different approaches you can take when building applications that use generative AI.

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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

Sonnet currently ranks at the top of S&P AI Benchmarks by Kensho , which assesses large language models (LLMs) for finance and business. Kensho is the AI Innovation Hub for S&P Global. The evaluation tasks S&P AI Benchmarks evaluates LLMs using a wide range of questions concerning finance and business.

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Copyright, AI, and Provenance

O'Reilly Media

Generative AI stretches our current copyright law in unforeseen and uncomfortable ways. In the US, the Copyright Office has issued guidance stating that the output of image-generating AI isn’t copyrightable, unless human creativity has gone into the prompts that generated the output. This distinction is attractive for several reasons.

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From Deep Knowledge Tracing to DKT2: A Leap Forward in Educational AI

Marktechpost

However, recent advancements in deep sequential KT models, such as Attentive Knowledge Tracing (AKT), have increasingly prioritized predictive performance over practical applicability and comprehensive knowledge modeling. Dont Forget to join our 70k+ ML SubReddit.

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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. WRITER at MLearning.ai // AI Video // Multimodal Machine Learning Mlearning.ai