In this episode, we embark on a journey to discover 25 new frontiers in AI applications with the powerful combination of GPT4 and ChatGPT.

In this episode, we explore Stanford's innovative approach to cloning ChatGPT on a budget of $600, analyzing the methodology, limitations, and ethical considerations surrounding the reproduction of sophisticated AI models.

In this episode, we go beyond words to explore ChatGPT's role in résumé crafting and career development, considering its implications for job seekers, recruiters, and the evolving landscape of employment in the digital age.

In this episode, we demystify the inner workings of AI detectors, shedding light on their training data, model architectures, and the challenges they face in accurately identifying and flagging problematic content.

In this episode, we examine the evolution of ChatGPT with the introduction of ChatGPT-4, highlighting its enhanced capabilities, superior performance, and the notable improvements that set it apart from its predecessor, ChatGPT-3.

In this episode, we dive deep into the financial backing from Microsoft for ChatGPT and OpenAI's cloud infrastructure, examining the motivations, opportunities, and potential impact on the AI landscape.

In this episode, we unravel the technical complexities behind ChatGPT's mathematical shortcomings, shedding light on the inherent limitations of language-based models and the obstacles encountered when processing numerical information.

In this episode, we witness a pivotal moment in Azure's AI evolution as ChatGPT joins the family, discussing the potential for enhanced user experiences, intelligent applications, and data-driven insights.

In this episode, we explore the introduction of a ChatGPT bot in Slack and consider the transformative impact AI may have on the way we communicate in the future.

In this episode, we explore the list of countries that have prohibited the use of ChatGPT, discussing the reasons behind these bans and the potential impact on AI innovation and adoption.