So you've heard these AI terms and nodded along; let's fix that (techcrunch.com)

A new glossary aimed at demystifying the complex language of artificial intelligence (AI) has been introduced, addressing the barrage of terminology that often leaves even tech-savvy individuals feeling overwhelmed. This living document will evolve alongside the field, covering essential AI concepts like artificial general intelligence (AGI), which refers to systems that can outperform humans in economically valuable tasks, and AI agents, which are designed to autonomously perform complex tasks by leveraging multiple AI systems. The glossary also explains technical terms such as API endpoints, which enable integrations between different software platforms, and chain-of-thought reasoning in large language models (LLMs), which breaks down problems into smaller steps to improve accuracy in outputs. This initiative is significant for the AI/ML community as it offers a clearer understanding of rapidly evolving AI technologies, enhancing communication among practitioners and bridging knowledge gaps. The glossary highlights the importance of concepts like deep learning, GANs (Generative Adversarial Networks), and the challenges of hallucination in AI—where models generate false information due to training data deficiencies. By providing accessible explanations of these terms, the glossary not only fosters better comprehension but also encourages collaboration and innovation within the AI landscape, making it a valuable resource for both industry professionals and enthusiasts alike.