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Accuracy concerns slow manufacturers’ Gen AI adoption

CIO

Manufacturers are implementing generative AI initiatives slower than anticipated due to accuracy concerns, according to a report from Lucidworks. The study surveyed over 2,500 global AI decision-makers and found that 58% of manufacturing leaders plan to increase AI spending in 2024, down from 93% in 2023. The rest use a mix of both.

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Securing and Managing ChatGPT Traffic with Palo Alto Networks App-ID

Palo Alto Networks

However, you later realize that your confidential document was fed into the AI model and could potentially be reviewed by AI trainers. Even worse, it is possible that your contract might be used to train the model and appear in other users' outputs. and the recent GPT-4 models. How would you react?

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This week in AI: Amazon ‘enhances’ reviews with AI while Snap’s goes rogue

TechCrunch

This week in AI, Amazon announced that it’ll begin tapping generative AI to “enhance” product reviews. Once it rolls out, the feature will provide a short paragraph of text on the product detail page that highlights the product capabilities and customer sentiment mentioned across the reviews. Could AI summarize those?

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Microsoft Ignite 2023: 11 takeaways for CIOs

CIO

Bing Chat Enterprise goes away When OpenAI released ChatGPT Enterprise in September, there was speculation that it could cause trouble for Microsoft’s Bing Chat Enterprise , launched just two months prior. Here’s some of the top AI news CIOs will want to take away from Microsoft Ignite 2023.

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What is NLP? Natural language processing explained

CIO

Natural language processing definition Natural language processing (NLP) is the branch of artificial intelligence (AI) that deals with training computers to understand, process, and generate language. While the term originally referred to a system’s ability to read, it’s since become a colloquialism for all computational linguistics.

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I Actually Chatted with ChatGPT

O'Reilly Media - Ideas

ChatGPT was released just over a year ago (at the end of November 2022), and countless people have already written about their experiences using it in all sorts of settings. (I I even contributed my own hot take last year with my O’Reilly Radar article Real-Real-World Programming with ChatGPT.) What more is left to say by now?

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This week in AI: Experiments, retirements, and extinction events

TechCrunch

.” Patrick Hymel, an entrepreneur in the health tech industry, wrote about the ways in which GPT-4 makes up references, facts and figures without any identifiable link to real sources. And Fast Company tested ChatGPT’s ability to summarize articles, finding it… quite bad. Asteroid spotted, ma’am.