Band of Angels member Akli Adjaoute has published a book “Inside AI”, drawing on 30 years of valuable insights from his field experience. Available on Amazon https://lnkd.in/dAsPgJJb
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The tag line of this article - "It’s knowledgeable, confident, and behaves human-like in many ways. But it’s not magic that powers AI though; it’s just math and data" is something worth remembering as we explore #GenAI. Looks like an interesting book from Anil Ananthaswamy .
10 profound answers about the math behind AI
bigthink.com
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Where did the idea of Artificial Intelligence (AI) originate? Was it Google, Amazon, or IBM? I like the story of how AI came into existence. It was proposed by Alan Turing in 1950. At a time when computers didn't exist as we know them today. I'm a big fan of Benedict Cumberbatch (known as Dr. Strange). I enjoyed watching him act as Alan Turing in the movie "The Imitation Game(2014)." I saw the movie two years ago, but I didn't realize it was about AI until I read the original paper. Original Paper: https://lnkd.in/dbf_DRWH ------------------------------------------------------------------ My effort in implementing AI into the product: https://lnkd.in/dHU-3VnT Different Categories of AI Product Managers https://lnkd.in/dcVTTrXm ------------------------------------------------------------------ #productmanagement #productmanagers #aiproductmanagement #aiproductmanagers #techforgood #futureofwork #machinelearning #deeplearning #neuralnetworks #turingmachine #ai #aiadoption #aiandml #ai4good #aiapplications #aiadvancements #pm
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Anthropic’s Claude 3.5 Sonnet, the newest addition to the state-of-the-art Claude family of AI models, is more intelligent and one-fifth of the price of Claude 3 Opus. Claude 3.5 Sonnet, the latest and most capable model from artificial intelligence (AI) safety and research company Anthropic, is generally available today in Amazon Bedrock as part of Anthropic’s Claude family of AI models. Amazon Bedrock offers the broadest selection of high-performing foundation models (FMs) from leading AI companies, along with the capabilities and enterprise security customers need to quickly build and deploy generative AI applications. Claude 3.5 Sonnet sets a new industry standard for intelligence. According to Anthropic, the new model outperforms other models available today,including OpenAI’s GPT-4o and Google’s Gemini 1.5 Pro, as well as Anthropic’s own previously most capable model, Claude 3 Opus, in areas including expert knowledge, coding, and complex reasoning. #amazon
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These are the two new books you need to read about AI https://lnkd.in/gJjaYAxv from The Economist
These are the two new books you need to read about AI
economist.com
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Senior Vice President @ RIB | Technology & Architecture Strategist | Global AI Strategy Leader | Author of “Mastering Large Language Models”
The impact of Large Language Models (LLMs) is growing rapidly, as evidenced by recent developments from industry giants like Microsoft and Google, which have heavily focused on LLMs and Generative AI. For developers, getting up to speed with LLMs isn't as challenging as it might seem. There are numerous resources available, including my book, "Mastering Large Language Models: Advanced Techniques, Applications, Cutting-Edge Methods, and Top LLMs," which boasts a 5-star rating on Amazon. Link: https://lnkd.in/grdswtbf I'm also thrilled to share that my book was featured at the London Book Fair, thanks to BPB Publications. #generativeai #llm #machinelearning #book #ai
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What I'm learning at Google NEXT '24 Google has long been a leader in AI and Fei-Fei Li's contributions to the field have been enormous. (For her view on these developments, see her book "The Worlds I See: Curiosity, Exploration, and Discovery at the Dawn of AI") In spite of all of the potential for good, ethical and beneficial uses of AI are by no means assured. Once again, Fei-Fei Li is leading at Stanford's Institute for Human-Centered AI.
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Field CTO Ambassador, Field CTO Organization | Speaker | Corporate Mentor | IBM Quantum Senior Ambassador | Member, Board of Directors, | 20,000+ Connections
They met by chance, got hooked on an idea, and wrote the “Transformers” paper—the most consequential tech breakthrough in recent history. Eight names are listed as authors on “Attention Is All You Need,” a scientific paper written in the spring of 2017. They were all Google researchers, though by then one had left the company. When the most tenured contributor, Noam Shazeer, saw an early draft, he was surprised that his name appeared first, suggesting his contribution was paramount. “I wasn’t thinking about it,” he says. Steven Levy talked to the Transformer Eight to piece together the anatomy of a breakthrough, a gathering of human minds to create a machine that might well save the last word for itself. It’s always a delicate balancing act to figure out how to list names—who gets the coveted lead position, who’s shunted to the rear. Especially in a case like this one, where each participant left a distinct mark in a true group effort. As the researchers hurried to finish their paper, they ultimately decided to “sabotage” the convention of ranking contributors. They added an asterisk to each name and a footnote: “Equal contributor,” it read. “Listing order is random.” The writers sent the paper off to a prestigious artificial intelligence conference just before the deadline—and kicked off a revolution. ** Noam Shazeer, Cofounder and CEO of Character.AI ** Llion Jones, Cofounder of Sakana AI ** Jakob Uszkoreit Cofounder and CEO of Inceptive ** Illia Polosukhin Cofounder of NEAR Protocol :: Pagoda ** Ashish Vaswani Cofounder and CEO of Essential AI ** Niki Parmar Cofounder of Essential AI ** Aidan Gomez Cofounder of Cohere ** Lukasz Kaiser Occupation Researcher at OpenAI ** Equal Contributor Click below to read about the story of the Transformers! https://lnkd.in/gbEBBwJ8
8 Google Employees Invented Modern AI. Here’s the Inside Story
wired.com
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What do you love the most about The AI Edge? Order a copy of The AI Edge on Amazon to find out what you love most about Jeb and Anthony's new book. https://hubs.li/Q02PKcgw0 #SellMore #SalesBook #TheAIEdge #AI #1BestSeller #Amazon
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Amazon wants to make sure AI models don’t fall out of line after they’re shipped out. The company filed a patent application for “global explanations of machine learning model predictions.” The service would explain how deployed machine learning models come to their conclusions and monitor for behavioral shifts after the models are deployed. Read on for further details here. #thedailyupside #Amazon #AI #patentapplication https://hubs.ly/Q02HnkhM0
Amazon Explainability Patent Could Bring Responsible AI to AWS
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