Large language models (LLMs) have proven to be proficient at answering simple questions with speed and accuracy. However, when it comes to handling complex tasks that require reasoning and planning, these models often fall short. Special prompting techniques, known as “System 2” techniques, have been developed to enhance the reasoning capabilities of LLMs by guiding
AI
The omnipresence of generative artificial intelligence online is undeniable in today’s digital landscape. From AI-generated summaries on Google search results to AI tools integrated into social media platforms like Facebook, the influence of AI is far-reaching. This phenomenon can be traced back to the release of ChatGPT by OpenAI in 2022, which sparked a frenzy
The role of AI in education is continuously evolving, with platforms like Khanmigo taking on the task of guiding students through problems step by step. Rather than simply providing answers, Khanmigo prompts students to think about how to find solutions themselves. This approach, while valuable for encouraging critical thinking skills, may also have limitations. While
In the fast-paced world of the internet, misinformation can spread like wildfire. A recent example of this is the fake news story about Ukrainian president Volodymyr Zelensky’s wife buying a Bugatti car with American aid money. This story originated from an unknown French website called Vérité Cachée and quickly gained traction on social media platforms
Artists put their heart and soul into creating unique pieces of art, only to have their work stolen and profited from by others. The emotional toll that art theft takes on artists can be devastating, with many feeling helpless in the face of widespread infringement. The popularity of an artist’s work can sometimes make it
As the sun sets and darkness descends upon a politically volatile region, American special operators find themselves in a densely populated urban center, surrounded by a flurry of activity. The threat level is high, but specifics are vague, and the team must maintain a low profile to avoid drawing attention from known hostiles. In a
The paradigm shift that AI underwent in November 2022 marked a significant change in how the technology was perceived. It transitioned from being a background technology to a disruptive force at the forefront of innovation. Fast forward to the present, and we find ourselves in the next phase of generative AI, with both consumers and
AI companies have been struggling to identify whether a piece of writing has been generated using a large language model. Researchers have developed a new method to estimate LLM usage in scientific writing by analyzing the frequency of “excess words” that appeared more frequently during the LLM era, particularly in 2023 and 2024. The study,
AI agents are becoming a promising new research direction with potential applications in the real world. These agents use foundation models such as large language models (LLMs) and vision language models (VLMs) to take natural language instructions and pursue complex goals autonomously or semi-autonomously. However, a recent analysis by researchers at Princeton University has revealed
The tech world is abuzz with the advancements in large language models (LLMs) powered by Nvidia GPUs. However, amidst this excitement, a quieter yet significant revolution is brewing in AI hardware – the rise of neuromorphic computing. As traditional deep learning architectures face limitations in computational power and energy efficiency, neuromorphic systems are emerging as