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What's New Today: Bengaluru takes the lead in hiring fresh graduates, with a 69% intent to recruit in the first half of the year.
Fast-Track Insights: Police Issue advisory on crypto trading amid a surge in Fraud Cases
GPT-4 is the stupidest model any of you will ever have to use again," stated OpenAI CEO Sam Altman, at a time when his organization is focusing heavily on superintelligence or Artificial General Intelligence (AGI). Altman effectively labeled ChatGPT as the stupidest AI chatbot, alluding to the possibilities of its successors.
According to a recent TeamLease EdTech poll, there are potential options for new graduates looking for work, particularly in places such as Bengaluru, Mumbai, and Chennai. During the first half of the year, these cities showed a strong willingness to recruit more fresh graduates, with Bengaluru leading the way with an outstanding 69% hiring intent. This represents a small improvement over the previous half-year, demonstrating a favorable trend in fresher recruitment throughout major metropolitan regions.
Elevating Large Language Models (LLMs) to the center of the artificial intelligence (AI) world of synonyms has been a monumental task that has changed the way of describing natural language processing (NLP). Translating this to English, these highly complicated models equip us with their ability to comprehend and produce text of acceptable quality due to large datasets being used and helped by artificial neural networks like the transformer network architectures used. The rapid development of LLMs can be traced back to their capacity to effectively work on problems of complex scales, such as in chatbots, virtual assistants, content generation, and language translation equalling human performance. LLMs provide a possibility for developers to use all the predressed language features for so many jobs, blow our minds with advanced AI technology and democratize AI for everyone. This article unravels the cause of the rising trend of LLMs in AI, their trailblazing effect on industry working sectors, and how they have in the past, and will during the near future, affect human-computer relationships.
In order to avoid the intense vigilance of cyber detectives, fraudsters are utilizing new technologies and techniques to deceive victims. In the most recent cyber scam, cybercriminals have targeted people who engage in peer-to-peer (P2P) cryptocurrency trading, acting as intermediate mule accounts to avoid detection. The fraudsters are duping unsuspecting victims via different social media platforms. Victims who fall victim to cybercrime report crimes to a cybercrime reporting web or hotline 1930, but cybercriminals use strategies that change cash to other currencies, making it impossible for the bank to obtain a reimbursement.
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