🎯 How to build with AI agents | The tech stack of virtual agents
Part 4/6 AI virtual agents series | Get started with AI | How-to guides and features
The tech stack of virtual agents
Under the hood of every engaging virtual agent lies a complex network of interconnected technologies.
This chapter is your backstage pass to NLP, machine learning, computer vision, and more.
We'll dissect the key components that power these digital beings and explore the platforms and frameworks that make building them accessible to everyone.
▸ With the rapid advancement of AI, will building virtual agents eventually become as simple as assembling Lego blocks, democratizing access to this powerful technology?
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 (read it here)
Part 2: Designing for presence and personality (read it here)
Part 3: Building interactive experiences (read it here)
Part 4: The tech stack of virtual agents (this part)
Part 5: Ethics and the future of virtual agents
FAQs
Conclusion
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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?
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