Ai for Business

  EU AI Act: The AI legislation When Machines Take the Lead: The Case for Rules India, as the world’s largest digitally connected democracy, is moving forward at an incredible pace—but with growth comes its own set of challenges. Take the case of Sunil Bharti Mittal, Chairman of Bharti Enterprises. He recently shared a startling experience reported by The Economic Times. A scammer used AI to clone his voice and called one of his executives in Dubai, trying to authorize a large money transfer. The voice was so convincing that even Mittal himself was left stunned when he heard the recording. Stories like this show just how urgently we need laws to protect us from the darker side of AI and other digital technologies, so they can truly serve us for the better. Why the need for a legislation AI is already part of our everyday lives, often working quietly behind the scenes without us even noticing. While this powerful technology brings incredible opportunities, it also comes with risks w...

When Machines Take the Lead: The Case for Rules India, as the world’s largest digitally connected democracy, is moving forward at an incredible pace—but with growth comes its own set of challenges. Take the case of Sunil Bharti Mittal, Chairman of Bharti Enterprises. He recently shared a startling experience reported by The Economic Times . A scammer used AI to clone his voice and called one of his executives in Dubai, trying to authorize a large money transfer. The voice was so convincing that even Mittal himself was left stunned when he heard the recording. Stories like this show just how urgently we need laws to protect us from the darker side of AI and other digital technologies, so they can truly serve us for the better. Why the need for a legislation AI is already part of our everyday lives, often working quietly behind the scenes without us even noticing. While this powerful technology brings incredible opportunities, it also comes with risks we can’t afford to ignore. From bia...

  Illustration by Rajashree Rajadhyax Large language models are an impressive technology that excels at providing answers based on vast knowledge of the world. However, they often struggle with reasoning and logic-based questions. To overcome this limitation, the Chain-of-Thought (CoT) method was introduced. This technique emulates how humans solve problems by reasoning step-by-step. Just as we break down complex problems into smaller, manageable parts for analysis and logical resolution, CoT guides language models to adopt a similar approach. By mimicking this natural, structured problem-solving process, CoT enhances the models’ ability to handle logic-driven tasks with greater accuracy and reliability. This approach, however, requires more time and computational effort because it involves processing more tokens . Tokens are the building blocks of text, like words or parts of words, that the model uses to understand and generate responses. Since the Chain-of-Thought method involv...