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Generative AI, ChatGPT and Large Language Models: A 101

Acuvate

Today, Language Models (LLM) are not only making enterprise decisions and operations efficient and straightforward, but they are also composing prose, poetry, and even generating images! ChatGPT stands out as a powerhouse in the realm of Generative AI. What are Large Language Models (LLM)?

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Getting Machine Learning Projects from Idea to Execution

Harvard Business Review

Machine learning might be the world’s most important general-purpose technology, but it’s notoriously difficult to launch. Outside of Big Tech and a handful of other leading companies, machine learning initiatives routinely fail to deploy, never realizing value. What’s missing?

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How Marketers Can Adapt to LLM-Powered Search

Harvard Business Review

Large language models (LLMs) provide a search experience that’s dramatically different from the web-browser experience. The biggest difference is this: LLMs promise to answer queries not with links, as web browsers do, but with answers. The authors present three ways for marketers to rise to this challenge.

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Do we really care about (artificial) intelligence?

Norbert Bol

Sorry for not keeping my promise to blog more in 2020 about responsible technology and artificial intelligence as I wrote in Happy New Year: The new roaring ’20 s. Responsible use of the digital enabled technologies that often inhibit artificial intelligence is still a topic of debate. Schneider et al.

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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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Harnessing the Power of Artificial Intelligence (AI) and Machine Learning (ML) to Transform Logistics

BPI Thought Leadership Commentary

The Elon Musks and Mark Zuckerberg’s of the world are driving the Artificial Intelligence (AI) and Machine Learning (ML) agenda at present.

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Machine Learning-Powered Chatbots Move Beyond Apps

Daniel Burrus

Machine learning-powered chatbots are starting to bring a relatively new concept called conversational commerce to life. At present, we have to leave our online conversations to look up information located on other apps or in our web browser. Google Allo can reply to messages on your behalf.

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Service Delivery: When Is the Right Time to Deploy Your AI?

Speaker: Dick Stark and Casey Steenport

The big buzz is around Artificial Intelligence, and how it can help IT service delivery teams crush their goals. Decision-makers have been experimenting with Artificial Intelligence in smaller groups and have started adopting AI into mainstream environments in their organizations.

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Building User-Centric and Responsible Generative AI Products

Speaker: Shyvee Shi - Product Lead and Learning Instructor at LinkedIn

In the rapidly evolving landscape of artificial intelligence, Generative AI products stand at the cutting edge. This presentation unveils a comprehensive 7-step framework designed to navigate the complexities of developing, launching, and scaling Generative AI products.