[Market Trends] AI Agents and AI Assistants: A Contrast in Function | IBM Technology

                                              




📌 AI Assistants vs. Agents: Helpers or Strategists?

The video explores the distinction between AI Assistants and AI Agents, likening them to a movie star's assistant and agent. AI Assistants are reactive tools that respond to user prompts, handling routine tasks like scheduling or responding to queries (e.g., Siri, Alexa). Built on large language models (LLMs), they rely on precise user input but can improve through prompt tuning or fine-tuning for repetitive tasks. On the other hand, AI Agents act autonomously, breaking down tasks and creating workflows to achieve goals. They require only an initial prompt and can use external tools, data, and persistent memory for strategic tasks like automated trading. While assistants excel in repetitive tasks, agents handle complex, dynamic problems. Despite challenges such as computational costs and brittleness, both technologies are evolving, with future synergy expected to combine their strengths for diverse applications.

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⏰ MasoCampus' ChatGPT Mastering Lecture 

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About Maso Campus_OUR VISION

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📌  MASO CAMPUS VISION To enable anyone to secure digital capabilities when and where they want to. 💡  Our Competitive edge ▶ Highest level of content required by the times and p rovides it to the world. ▶  Provide a non-face-to-face education distribution platform. ▶ Actionable Content! 💁 About us MasoCampus is an on-offline IT practical training center that provides high-quality education at reasonable prices. Our instructors, with years of practical experience, deliver both online and offline classes to offer top-notch education while keeping costs affordable. Whether you are a recent graduate stepping into society or a professional feeling lost in the daily grind, we aim to inject new dreams and vitality into your life. Microsoft Campus not only guides many ordinary individuals towards their dreams but also becomes a true companion, easing the time and effort required for the journey towards your aspirations. We are here to show the path to those who feel like self...
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[Market Trends] How Meta’s Chief AI Scientist Believes We’ll Get To Autonomous AI Models | Forbes

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               📌  Navigating the Future of AI: Innovations and Open Source Philosophy In this video, Meta's Chief AI Scientist discusses the evolution and potential of autonomous AI models. He reflects on the release of "Llama 3," a new AI model boasting significant advancements with 8 billion parameters, trained on 15 trillion tokens. He credits the collaborative effort behind its development and emphasizes the importance of open-source models for fostering innovation. Furthermore, he talks about future AI developments, including more advanced neural networks and the challenge of integrating real-world experience to enhance AI's understanding. The video highlights both the technical progress and philosophical implications of advancing AI technology. 🎬 Check out the related video! ⏰ MasoCampus' ChatGPT Mastering Lecture           👉Click here 👈
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[Market Trend] The Future of Security with AI | KEY03H

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📌  In this field, a reliable copilot. At Microsoft, Charlie Bell and Basu Jak presented on security. The severity of cybercrime is escalating, with organizations and individuals struggling to thwart attacks exploiting vulnerabilities in systems, networks, and devices. Cybercrime has already formed a massive economy, with defenders engaged in an imbalanced fight against attackers. Microsoft analyzes 65 trillion signals daily to identify security threats and is using AI technology to counter these attacks. They introduced 'Security Copilot,' a new tool leveraging AI to help security professionals quickly and effectively identify and respond to threats. This helps organizations improve identity management, device management, and data management. 🎬 Check out the related video!
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