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Here’s how to get the best prompts for ChatGPT and image-generating AI

Flipboard

Using these basics of prompt engineering, you can get the most out of generative AI.

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Streamlining government regulatory responses with natural language processing, GenAI and text analytics

SAS Software

Streamlining government regulatory responses with natural language processing, GenAI and text analytics was published on SAS Voices by Tom Sabo Each stone needs to be carefully examined, categorized and placed in the correct bucket, which takes about five minutes per stone. Fortunately, you’re not alone but part of [.]

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Exploring the AI and data capabilities of watsonx

IBM Journey to AI blog

is our enterprise-ready next-generation studio for AI builders, bringing together traditional machine learning (ML) and new generative AI capabilities powered by foundation models. With watsonx.ai, businesses can effectively train, validate, tune and deploy AI models with confidence and at scale across their enterprise.

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Curious about ChatGPT: Exploring the origins of generative AI and natural language processing

SAS Software

The post Curious about ChatGPT: Exploring the origins of generative AI and natural language processing appeared first on SAS Blogs. Join us as we explore some of the key innovations over the past 50 years that help inform us about how to respond and what the future might hold.

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Using AI-Mechanized Hyperautomation for Organizational Decision Making

Unite.AI

Contemporary businesses must transform decision dynamics by adopting automation-enabled workflows and prioritizing AI-mechanized hyperautomation at the top of digital transformation. So why is this recently expounded phenomenon surprising industries? Simply put, it is a superior iteration of intelligent automation.

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Real-world usage of LLMs in Journalism

Ehud Reiter

I see a lot of claims that generative AI is super-fantastic and will “change everything”; I also see claims that generative AI is either useless or disastrous. Also impact will take time. It basically surveys how 292 journalists and other news professionals are using LLMs and the challenges they face.

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Five steps to improve information extraction using trustworthy generative AI

SAS Software

SAS' Federica Citterio answers the perennial data science question: "How can I trust (generative) LLM to provide a reliable, non-hallucinated result?" The post Five steps to improve information extraction using trustworthy generative AI appeared first on SAS Blogs.