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Everything you need to know about ChatGPT


ChatGPT is, in essence, a simple online artificial intelligence chatbot created by OpenAI in December 2022. You can ask it a question, and it will answer that question. "ChatGPT is an AI language model developed by OpenAI, which is capable of generating human-like text based on the input it is given. The model is trained on a large corpus of text data and can generate responses to questions, summarize long texts, write stories and much more. It is often used in conversational AI applications to simulate a human-like conversation with users."

This software tries to spot lung cancer years earlier. Can it?

Washington Post - Technology News

The finding, announced in late January by a team of researchers at Harvard's Massachusetts General Hospital and the Massachusetts Institute of Technology, is part of a growing medical trend of using algorithms to predict everything from breast cancer and prostate cancer to the likelihood of tumors regrowing. Though research is increasing, scientists say more testing needs to be done before fully unleashing these products into clinical settings.

Whispers of A.I.'s Modular Future

The New Yorker

One day in late December, I downloaded a program called Whisper.cpp onto my laptop, hoping to use it to transcribe an interview I'd done. I fed it an audio file and, every few seconds, it produced one or two lines of eerily accurate transcript, writing down exactly what had been said with a precision I'd never seen before. As the lines piled up, I could feel my computer getting hotter. This was one of the few times in recent memory that my laptop had actually computed something complicated--mostly I just use it to browse the Web, watch TV, and write. Now it was running cutting-edge A.I. Despite being one of the more sophisticated programs ever to run on my laptop, Whisper.cpp is also one of the simplest.

Riemannian score-based generative modelling


A structural basis for antibody-mediated neutralization of nipah virus reveals a site of vulnerability at the fusion glycoprotein apex.

How to Perform Outlier Detection In Python In Easy Steps For Machine Learning, #1


We live on an outlier. Earth is the only hump of rock with life in the Milky Way galaxy. Other planets in our galaxy are inliers or normal data points in a so-called database of stars and planets. There are many definitions of outliers. In simple terms, we define outliers as data points that are significantly different than the majority in a dataset.

ValueBase, backed by Sam Altman's Hydrazine, raises $1.6 million seed round • TechCrunch


OpenAI CEO Sam Altman believes AI can help usher in "unbelievable abundance," but he says he wants to ensure that such abundance is shared. Toward that end, Altman has embraced a theory of 19th century political economist Henry George, who in his own lifetime worried about wealth amassing in the hands of the few following the Industrial Revolution. George posited that greater equality could be enjoyed if the economic value of land belonged equally to all members of society. Altman similarly believes that in a world where jobs may create less economic value, a land tax could make up for income tax and guarantee that all individuals' assets rise as land -- a fixed asset -- grows in value. He's putting his money where his mouth is, too, leading a seed round in a six-month-old startup that represents a step in that same direction.

AI success is being limited by poor digital transformation


Check out all the on-demand sessions from the Intelligent Security Summit here. Digital transformation has multiple dimensions and complexities, which are sometimes lost on organizations undertaking it. The recipe for success lies in rethinking the processes and the organizational structure to generate maximum value from the technology framework -- something many enterprises continue to struggle with. A 2020 study by Boston Consulting Group found that about 70% of digital transformation projects fall short of their goals even when the priorities are clearly mapped and leadership is aligned. Compounding the challenge is the need to bring AI into the organization that is transforming.

Artificial Intelligence in Africa – 10 Trends for 2023


When we started AI Expo Africa here in South Africa back in 2018, it would be fair to say the atmosphere was one of excitement with a fair degree of hype mixed with solid doses of reality. There was still talk of "AI Winters" and that adoption would be slow. Well, 5 years on, the landscape has radically changed. Tools and techniques that were once the exclusive domain of "the developer" are now freely accessible via zero cost platforms / apps / APIs allowing business users to leverage all kinds of AI related tech, be that AI generated presentations or logos, to art, videos, music and animations to name but a few. Even in the time we have been running the show, the creativity and use cases have exploded and it would be fair to say, we are now well into the AI Spring!

The Benefits of AI in Digital Advertising - Crypto Loops


Artificial Intelligence (AI) has revolutionized many industries, and digital advertising is no exception. AI technology has made it possible to automate many of the manual tasks that are involved in digital advertising, saving time, increasing efficiency, and delivering better results. In this blog, we will explore the benefits of AI in digital advertising and how it is transforming the industry. One of the most significant benefits of AI in digital advertising is the ability to target and personalize ads more effectively. AI algorithms can analyze vast amounts of data about consumer behavior, preferences, and demographics, enabling advertisers to deliver highly targeted and personalized ads.

ChatGPT isn't all it seems, read this before you use it.


The truth is that with ChatGPT, we may end up in a future where the truth is where the answer looks better and not whether it is right. It's all because ChatGPT is scarily good at talking to people. In this article, I will try to cover more about ChatGPT and why you should be careful about using this for your next great startup idea or using this instead of a good old Wikipedia page (do you remember when we used to say you should not use Wikipedia??). AI was trained in 3 steps. Each step was a bit closer to getting the best possible results and the most natural answer.