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ChatGPT lang:en Twitter NodeXL SNA Map and Report for domingo, 05 febrero 2023 at 14:50 UTC

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The graph represents a network of 2.469 Twitter users whose recent tweets contained "ChatGPT lang:en", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 2.000 tweets. The network was obtained from Twitter on Sunday, 05 February 2023 at 14:56 UTC. The tweets in the network were tweeted over the 49-minute period from Sunday, 05 February 2023 at 14:00 UTC to Sunday, 05 February 2023 at 14:50 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.


OpenAI's AI-generated text detector is never technically wrong, but it's still easy to trick

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The world's most famous chatbot, ChatGPT, was released in late November of last year. The immediate response was astonishment, followed almost immediately by terror about its ramifications -- most notably that it might generate school essays for dishonest kids. Yesterday, almost exactly two months later, OpenAI, ChatGPT's parent company released what many users hope will be the antidote to the poison. OpenAI's "classifier for indicating AI-written text" is the company's latest invention, and it's as easy-to-use as one could want: Copy-paste text into the box, click "Submit," and get your result. But if you're expecting a straight answer, you're going to be disappointed.


Launching into Machine Learning

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The course begins with a discussion about data: how to improve data quality and perform exploratory data analysis. We describe Vertex AI AutoML and how to build, train, and deploy an ML model without writing a single line of code. You will understand the benefits of Big Query ML. We then discuss how to optimize a machine learning (ML) model and how generalization and sampling can help assess the quality of ML models for custom training.


13 Best Code Review Tools for Developers (2023 Edition)

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Looking for the best tools to review your code? Check out this in-depth guide on the best code review tools to use in your development in your workflow.


Where AI meets cybersecurity: Opportunities, challenges and risks so far - SiliconANGLE

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As evidenced by the example of ChatGPT, artificial intelligence is advancing in unprecedented directions to solve exciting new problems. But, as AI is being pointed toward critical cybersecurity operations, do the gains outweigh the potential risks and concerns? "You should be worried," said Andy Thurai (pictured), vice president and principal analyst at Constellation Research Inc. "The problem people don't realize is that ChatGPT, being a new, shiny object, it's all the craze that's about. But the problem is that most of the content that's produced either by ChatGPT or others are assets with no warranties, accountability or whatsoever. If it is content, it's OK. But if it is something like code that you use, then it's mostly not."


Weekly AI-Inspiration #3. From Mind-Bending Images to…

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Welcome to the third edition of AI Weekly Inspiration, where I bring you the latest and greatest in the world of artificial intelligence.


Learn Data Science and Machine Learning with Python - Views Coupon

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Data science is an interdisciplinary branch of study that employs statistics, scientific computers, scientific techniques, procedures, algorithms, and systems to extract or infer information and insights from noisy, structured, and unstructured data. Data science also combines domain knowledge from the underlying application domain (e.g., natural sciences, information technology, health) (e.g., natural sciences, information technology, medicine). Data science has several facets and may be regarded as a science, a research paradigm, a research technique, a field, a workflow, and a career. Data science is a "concept that unifies statistics, data analysis, informatics, and their associated approaches" to "understand and analyse actual events" using data. It employs techniques and theories borrowed from several domains within the framework of mathematics, statistics, computer science, information science, and domain knowledge. Data science, however, is distinct from computer science and information science.


RSS Data Science and AI Section on LinkedIn: February Newsletter

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Don't miss out on our latest meetup on Thursday – "Why AI in healthcare isn't working" Please join us for a panel discussion on the topic of "Why AI in healthcare isn't working". In this session we will be discussing with experts in the field on the current state of AI in healthcare. We will cover the successes, the failures and what needs to happen to get more of the former than the latter. We will be joined by the ex President of the European Society for AI in Medicine, Professor Jeremy Wyatt and Dr Louisa Nolan, Head of Public Health Data Science, Public Health Wales Looking forward to seeing you there Thursday 15 December 2022, 7.00PM – 8.30PM – Online Sign up here (https://lnkd.in/gpX88uBv)


Warn your children: Robots and AI are coming for their careers

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For five years or so, I have been running around as a pale imitation of Paul Revere, yelling, "The robots are coming! At schools, social settings, with family and friends, or even to complete strangers with whom I fell into conversations, I have uttered the same warning: "It's critical that you or your children identify a career -- now -- that won't be taken over by robots and artificial intelligence." My particular midnight ride started well before the pandemic reared its ugly head. But the pandemic may have planted a seed in the minds of certain CEOs that human beings are the weakest link on their chain to profit and prosperity. When the first "Terminator" movie was released -- eerily enough, in 1984 -- the world was introduced to Cyberdyne Systems and its "Skynet" artificial superintelligence system, which not only gained self-awareness but realized it could do everything infinitely faster and better than its human creators. Well, ever since that movie got people asking, "What if," the fictional theme -- and warnings about AI -- have been morphing into reality. The latest example of a technology poised to replace a human workforce is ChatGPT, the chatbot auto-generative system created by Open AI for online customer care. It is a pre-trained generative chat, which makes use of natural language processing, or NLP. The source of its data is textbooks, websites and various articles, which it uses to model its own language for responding to human interaction. It's certainly not a stretch to believe that any number of CEOs might think, "Interesting… A self-teaching artificial intelligence system that won't call in sick, doesn't need to be fed or to take bathroom breaks, does not require health care, but can and will work 24/7/365." Not shockingly, it has been reported that Microsoft, which is laying off 10,000 people, announced a "multiyear, multibillion-dollar investment" in this revolutionary technology, which apparently is growing smarter by the day. Pengcheng Shi, an associate dean in the Department of Computing and Information Sciences at Rochester Institute of Technology, warned in an interview with the New York Post: "AI is replacing the white-collar workers.


Advanced Artificial Intelligence in Digital Marketing Course - Coursemetry

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Note: 4.5/5 (225 notes) 66,163 students Welcome to the course "Advanced Artificial Intelligence in Digital Marketing Course". This superb and highly Advanced Artificial Intelligence in Digital Marketing Course is set to put a ding in the world of digital marketing this year! During the projection period of 2023-2026, the global Artificial Intelligence Market size and share revenue is predicted to expand at a 35.6 percent annual CAGR from USD 29.86 billion to USD 399.64 billion in 2026. Let's talk about the usage of Digital Marketing in the AI field. Digital Marketing is vital in today's scenario of any company that is transparent in its corporate scale and scope.