Linh Bui's Vlog

Are you passionate about Artificial Intelligence and eager to dive deep into the technologies and techniques shaping the future? Google is excited to announce the 5-Day Gen AI Intensive Course , now available as a free, self-paced learning program designed for everyone interested in mastering the fundamentals of AI. 💻 Why Enroll? This comprehensive course is tailored to provide you with a solid foundation in Generative AI, covering essential topics that are critical in today’s rapidly evolving tech landscape. Whether you're a beginner looking to start your AI journey or a professional aiming to enhance your skills, this course offers valuable insights and hands-on experience to elevate your expertise. 📚 What You'll Learn: The course is meticulously structured over five days, each focusing on key aspects of Generative AI: ➡️ Day 1: Foundational Models & Prompt Engineering Understand the core principles of foundational AI models. Learn effective prompt engineering techni...

Understanding Agents and Environments in AI In an AI system, the core components are the agent and its environment . An agent is an entity capable of perceiving its surroundings via sensors and acting upon the environment through effectors. Environments can be simple or complex and may contain multiple agents interacting simultaneously. What are Agents and Environments? Agent: Any entity that senses its environment and acts upon it. Agents can vary widely: Human-Agent: Uses sensory organs (eyes, ears, nose, tongue, skin) as sensors and muscles (hands, legs, etc.) as effectors. Robotic Agent: Uses sensors like cameras or infrared detectors and effectors like motors and actuators. Software Agent: Interacts through encoded bit strings as input and output, operating within a digital environment. Key Terms in AI Agents Performance Measure: Criteria to determine an agent's success. Behavior: Actions an agent takes based on its perceptions. Percept: The agent’s input at a given mo...