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3 weeks ago | 
datasciencecentral.com | Jelani Harper |Vincent Granville |Dan Wilson
The quantum leap forward in natural language technologies attributed to foundation models, LLMs, and modern vocal applications of AI is due in no small part to the mastery of the concept of attention. When training and deploying the aforementioned models, attention mechanisms account for several things. One of the most valuable is allowing models to look back at different parts of a conversation or text and determine how that context relates to present inputs (or lines of text).
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3 weeks ago | 
flipboard.com | Vincent Granville
14 hours agoLast week, OpenAI released Images for ChatGPT which led to an explosion of interest thanks to its ability, in part, to generate Studio Ghibli inspired AI art. It looks like the virality has paid off — CEO Sam Altman posted that the company has added one million users in the last hour alone (he’s …
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3 weeks ago | 
datasciencecentral.com | Vincent Granville |Dan Wilson
In this article, I discuss the main problems of standard LLMs (OpenAI and the likes), and how the new generation of LLMs addresses these issues. The focus is on Enterprise LLMs. Most of the LLMs still fall in that category. The first ones (ChatGPT) appeared around 2022, though Bert is an early precursor.
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1 month ago | 
datasciencecentral.com | Eric Ethridge |Dan Wilson |Bill Schmarzo |Vincent Granville
The rapid development and adoption of artificial intelligence (AI) has been incredible. When it comes to generative AI alone (GenAI), 65% of respondents in a recent McKinsey Global Survey said their companies regularly use the technology, doubling findings from just 10 months earlier. Moreover, three-quarters anticipate that in the years ahead, AI will bring significant or disruptive change to their industries. Without question, AI is rapidly revolutionizing areas of business operations.
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1 month ago | 
datasciencecentral.com | Bill Schmarzo |Dan Wilson |Vincent Granville
Growing up, I was fascinated by the Strat-O-Matic baseball game. This strategy-driven baseball simulation board game used dice rolls and individual player statistics (captured on individual playing cards) to recreate realistic game outcomes based on statistical probabilities. And yes, I still have my original game board (what a nerd…).
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2 months ago | 
datasciencecentral.com | Bill Schmarzo |Vincent Granville |Dan Wilson
Generative AI (GenAI) has revolutionized content generation, information processing, and decision-making. However, as AI tools like ChatGPT and Bard integrate into daily workflows, a crucial question emerges: How is GenAI affecting critical thinking? A recent research paper published by Microsoft, The Impact of Generative AI on Critical Thinking, explored this issue by surveying 319 knowledge workers and analyzing 936 first-hand examples of AI-assisted tasks.
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2 months ago | 
datasciencecentral.com | Vincent Granville |Bill Schmarzo |Dan Wilson
In my ground-breaking paper 51 available here, I paved the way to solve a famous multi-century old math conjecture. The question is whether or not the digits of numbers such as π are evenly distributed. Currently, no one knows if the proportion of ‘1’ even exists in these binary digit expansions. It could oscillate forever without ever converging. Of course, mathematicians believe that it is 50% in all cases.
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2 months ago | 
flipboard.com | Vincent Granville
8 hours agoThe next wave of AI is here: Autonomous AI agents are amazing—and scaryA chief data officer explains why you need to pay attention to the rise of autonomous AI agents. The relentless hype around AI makes it difficult to separate the signal from the noise. So it’s understandable if you’ve tuned out recent talk about autonomous AI agents. A word of advice: Don’t.
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2 months ago | 
datasciencecentral.com | Rob Turner |Dan Wilson |Vincent Granville
Modern data reporting tools are smart, dynamic solutions for today’s fast-changing business needs. You get actionable knowledge presented in practical ways, not just bland charts and graphs. To provide insight into what they can do, here’s an overview of the features shaping smarter decision-making in organizations of all sizes right now. These advancements make data easier to understand and quicker to act upon.
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2 months ago | 
datasciencecentral.com | John Lee |Dan Wilson |Bill Schmarzo |Vincent Granville
Human-robot interaction (HRI) and the rise of artificial intelligence (AI), particularly generative AI, raised important regulatory, business, societal, and ethical issues. This paper examines the complex relationship between humans and AI models in social and corporate contexts from an anthropomorphic perspective. We reviewed HRI literature, focusing on generative models like ChatGPT.
