ChatGPT has taken the world by storm – within the first week of its official release it had over a million users and the adoption rate is galloping since then. Already several hundred startups have been set up to build applications around ChatGPT. No domain or activity is going to be left untouched by ChatGPT or such generational AI tools in the coming days. What would be the likely impact on HR function? It should be recognised that while such AI tools would bring about transformational changes, the full implications would be realised as time goes by.

Since "google" entered our vocabulary as a synonym for "search," Google's dominance in the search market has seemed unshakable, making the very idea of competition between search engines seem unlikely. But the entrance of generative AI tools like ChatGPT -- developed by OpenAI in partnership with Microsoft -- has ignited the potential for a competitor to knock Google's capabilities off the top of the search pyramid. Microsoft's new Bing Chat, which integrates the same AI technology that powers the ChatGPT bot, is already generating curiosity, controversy, and a long waitlist of would-be users. Google's parent company, Alphabet, has also developed its own AI chatbot, Bard. The future success and impact of these new technologies are very much open questions, so we turned to our expert panelists for their responses to this statement: The use of generative AI will restore competition in search.

Artificial intelligence's newest sensation -- the gabby chatbot-on-steroids ChatGPT -- is sending European rulemakers back to the drawing board on how to regulate AI. The chatbot dazzled the internet in past months with its rapid-fire production of human-like prose. It declared its love for a New York Times journalist. It wrote a haiku about monkeys breaking free from a laboratory. It even got to the floor of the European Parliament, where two German members gave speeches drafted by ChatGPT to highlight the need to rein in AI technology.

DALL·E 2 is a new AI system that can create realistic images and art from a text description in natural language. OpenAI introduced this innovative artificial intelligence software back in 2022. Right now, more than 3 million people are already using DALL·E 2 to extend their creativity and speed up their workflows, generating over 4 million images a day. Its flexibility allows creators to develop original images ranging from artistic to photorealistic. Users only need to describe what they want to create, and the AI generates state-of-the-art images within a couple of minutes.

Before diving into fine-tuning a GPT-3 model, it's important to understand what a language model is and how GPT-3 works. A language model is a type of artificial intelligence algorithm that can generate and understand human language. It works by predicting the next word or sequence of words in a given piece of text, based on the words that have come before it. GPT-3 (Generative Pre-trained Transformer 3) is a large, powerful language model developed by OpenAI that has been trained on a massive corpus of text data. It has been trained using a transformer architecture, which is a type of neural network that is designed to handle sequential data, such as natural language. Because of its massive size and extensive training, GPT-3 is capable of performing a wide variety of language-based tasks, including text generation, text completion, translation, and more.

Microsoft says it has used the natural language AI ChatGPT to control a range of robots with simple text commands. The approach means people with no engineering or coding experience will be able to instruct sophisticated robots to carry out tasks, but an expert warns that it could be risky to ask AI models to control robots on behalf of people. ChatGPT was created by OpenAI, an AI company that is itself partly owned by Microsoft.

New Delhi: OpenAI's AI chatbot ChatGPT has failed to clear the Indian Civil Services Examination, conducted by the Union Public Service Commission (UPSC), one of the toughest in the world, according to media reports on Saturday. Launched in November 2022, the chatbot has gained immense popularity. It also cleared several exams in the US, including the US Medical Licensing Exam (USMLE) and other MBA exams. It also managed to clear Google Coding Interviews for Level 3 Engineers. The Magazine asked ChatGPT all the 100 questions from Question Paper 1 (Set A) from UPSC Prelims 2022. "Only 54 of them were correctly answered by ChatGPT," it reported.

ChatGPT and similar systems will increasingly be part of our lives, including health care. We need guidelines to ensure their ethical deployment. Generative AI systems like ChatGPT, a chatbot based on a generative pre-trained transformer, have captured the public's attention, resulting in a flurry of positive and negative speculation about their potential. They have even found their way into popular comic strips. In one Dilbert strip, for instance, the boss asks Wally if his status report was written by a commercial grade AI.

I've decided to step back from the OpenAI board due to the potential for conflicts of interest with my role as an investor with Greylock. I remain an ally to OpenAI and its mission of beneficial AI for humanity. AI, like most transformative technologies, grows gradually, then arrives suddenly. Headlines make AI feel abrupt and singular when it's compared to a tidal… 35 comments on LinkedIn

Large language models like ChatGPT are purveyors of plausibility. The chatbots, many based on so-called generative AI, are trained to respond to user questions by scraping the internet for relevant information and assembling coherent answers, churning out convincing student essays, authoritative legal documents and believable news stories. But, because publicly available data contains misinformation and disinformation, some machine-generated texts might not be accurate or true. That has triggered a scramble to develop tools to identify whether text has been drafted by human or machine. Science is also struggling to adjust to this new era, with live discussions over whether chatbots should be allowed to write scientific papers or even generate new hypotheses.