Wild Intelligence by Yael Rozencwajg

Wild Intelligence by Yael Rozencwajg

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Wild Intelligence by Yael Rozencwajg
Wild Intelligence by Yael Rozencwajg
🎯 How to build with AI agents | Defining the virtual agent - beyond the chatbot
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How to build with AI

🎯 How to build with AI agents | Defining the virtual agent - beyond the chatbot

Part 1/6 AI virtual agents series | Get started with AI | How-to guides and features

Oct 09, 2024
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Wild Intelligence by Yael Rozencwajg
Wild Intelligence by Yael Rozencwajg
🎯 How to build with AI agents | Defining the virtual agent - beyond the chatbot
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Video by Google DeepMind

Defining the virtual agent - beyond the Chatbot

Forget the clunky chatbots of the past, spitting out canned responses and frustrating users with their limited understanding.

We're entering the age of truly interactive and intelligent virtual agents capable of holding meaningful conversations, understanding complex requests, and forming emotional connections.

This isn't just about automating tasks; it's about creating digital beings that can profoundly enhance our lives.

Buckle up because the line between the real and the virtual will get much blurrier.

▸ If a virtual agent can understand your needs better than a human, have we reached a point where the distinction between 'artificial' and 'intelligent' is meaningless?

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This is a sub-series of the Deep dive series “How to build with AI agents,” this time we are focusing on building on your existing foundation and focusing on the unique aspects of virtual agents:

Introduction (read it here)

Part 1: Defining the virtual agent - beyond the chatbot(this part)

Part 2: Designing for presence and personality

Part 3: Building interactive experiences

Part 4: The tech stack of virtual agents

Part 5: Ethics and the future of virtual agents

Conclusion, perspective sharing

↓ ↓ ↓ Continue reading ↓ ↓ ↓

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“How to with AI agents” is a five-part weekly series exploring AI agents’ capacity to revolutionize how we work, live, and interact with technology.

Part 1: AI agents, how to perform?

We need to understand the direction of AI agents’ improvement over time and acknowledge the importance of a combination of workflow systems, human expertise, and AI for well-balanced, ethical, and responsible distribution.

Part 2: Targeting the underserved

We'll likely see AI Agent solutions initially addressing niche markets or tasks currently considered too simple or mundane for humans. Imagine AI chatbots handling basic customer service inquiries or virtual assistants managing simple logistics tasks.

Part 3: Gradual market expansion

As AI Agent capabilities mature, they'll start encroaching on more complex tasks, gradually taking over mainstream functions currently performed by humans. Think of AI-powered financial advisors or intelligent document review tools.

Part 4: Strategy as the key driver

This market expansion hinges on continuous improvement in AI Agent performance. Advancements in areas like natural language processing, decision-making algorithms, and user interaction will be crucial.

Part 5: The democratization of AI

Disruptive innovation often leads to more accessible and affordable technologies. We might see AI Agents becoming readily available for small businesses and individuals, not just large corporations.

Deep dive: does a higher level of automation in AI mean less human control?

↓ ↓ ↓ More below ↓ ↓ ↓

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