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We Need To Rethink How Competition And Collusion In An Artificially Intelligent World

Digital Tonto

The problems will only get more pervasive as we constantly feed information into artificial intelligence platforms like ChatGPT. The post We Need To Rethink How Competition And Collusion In An Artificially Intelligent World first appeared on Digital Tonto. Yet it seems like we’ve gone in the opposite direction.

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How Innovation Can Benefit From Artificial Intelligence?

HYPE Innovation

The launch of ChatGPT, Midjourney, and DALL-E has put artificial intelligence (AI) firmly in the spotlight. Yet AI is nothing new, and these applications are just the tip of the iceberg. AI has been present in our daily lives for many years, with social media algorithms, chatbots, and the Waze application just a few examples.

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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.

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Balancing Artificial Intelligence with the Human Touch

Innovation Excellence

GUEST POST from Shep Hyken As AI and ChatGPT-type technologies grow in capability and ease of use and become more cost-effective, more and more companies are making their way to the digital experience. Still, the best companies know better than to switch to 100% digital. I had a chance to interview Nicole Kyle, managing director […]

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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.

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Using ChatGPT to Make Better Decisions

Harvard Business Review

Large language models can help at each stage of the process. But while it may be tempting to merely ask ChatGPT for answers, the real power of LLMs is how they can assist at each stage. A successful decision-making process has three steps: Framing the decision, generating alternatives, and deciding between them.

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A Triumph of Artificial Intelligence Rhetoric

Innovation Excellence

Understanding ChatGPT GUEST POST from Geoffrey A. Moore I have just finished reading Stephen Wolfram’s very approachable introduction to ChatGPT, What is ChatGPT Doing. And Why Does It Work?, and I encourage you to do the same. It has sparked a number of thoughts that I want to share in this post. […]