Be Part of the AI Revolution at the Chatbot Conference Tomorrow! was originally published in Becoming Human: Artificial Intelligence Magazine on Medium, where people are continuing the conversation by highlighting and responding to this story.
Transformer models have significantly influenced how AI systems approach tasks in natural language understanding, translation, and reasoning. These large-scale models, particularly large language models (LLMs), have grown in size and complexity to the point where they encompass broad capabilities across various domains. However, applying these models to new, specialized tasks remains a complex operation. Each…
How I took my Python AI news bot beyond chat apps and into subscribers’ inboxes. Continue reading on Artificial Intelligence in Plain English »
🚀 What to Expect The conference features a range of events designed to enrich attendees’ understanding of the chatbot industry: Expert Keynotes: Get insights from industry leaders at the forefront of AI innovation. Workshops: These certified workshops provide hands-on experience, helping participants design and deploy their own AI agents. Whether you’re looking to master AI automation…
Navigating the dense urban canyons of cities like San Francisco or New York can be a nightmare for GPS systems. The towering skyscrapers block and reflect satellite signals, leading to location errors of tens of meters. For you and me, that might mean a missed turn. But for an autonomous vehicle or a delivery robot,…
The Inefficiency of Static Chain-of-Thought Reasoning in LRMs Recent LRMs achieve top performance by using detailed CoT reasoning to solve complex tasks. However, many simple tasks they handle could be solved by smaller models with fewer tokens, making such elaborate reasoning unnecessary. This echoes human thinking, where we use fast, intuitive responses for easy problems…
How I automated my daily news routine to save time and stay informed. Continue reading on Artificial Intelligence in Plain English »