Reviewing Key concepts of Advanced use of AI

by Stélio Inácio, Founder at Jon AI and AI Specialist

Reviewing the Advanced Concepts

In this chapter, we moved beyond the basics of chatting with an AI and explored the frontiers of how this technology is developed, deployed, and evaluated. We've journeyed through the different tiers of AI services, the global landscape of models, and the exciting future of how we'll interact with artificial intelligence. This lesson recaps the essential, advanced concepts every informed AI user should understand.

Key Themes We Explored

Our journey through advanced AI covered three main areas:

Diverse Ways to Access AI: We learned that AI isn't one-size-fits-all. We compared the different paid tiers of popular services, the security and power of Enterprise AI in the workplace, and the two major paths of open-source AI: the ultimate privacy of self-hosting on your own computer versus the power and convenience of using open-source models in the cloud.
How to Find and Judge AI Models: We went shopping for AI models on Hugging Face, the world's largest library for the open-source community. We also learned how to look past the hype and evaluate models using the Chatbot Arena, a clever "blind taste test" that ranks AIs based on real human preferences.
The Expanding Frontier of AI: We looked at where AI is heading. This includes the development of non-US LLMs from countries like China, France, and the UAE, the incredible potential of multi-modal AI to understand images, voice, and video, and the future of new interfaces like AI glasses and advanced voice modes.

Key Concept: AI Computer Stream and AI Vision in Education

AI Computer stream and AI Vision could be used by students as a live tutoring system, where the AI can analyze the student's work in real-time and provide feedback. This could be particularly useful in subjects like mathematics or science, where students can benefit from immediate assistance.

Additionally, AI Vision can be used to create interactive learning experiences, such as augmented reality applications that allow students to visualize complex concepts in a more engaging way. This can enhance understanding and retention of information, making learning more effective.

So while AI could be restricted inside the classroom, it can still play a significant role in enhancing the educational experience. If students can use their phone or computer as an AI tutor, that can help them learn more effectively. Obviously this AI tutors, would have to be designed to teach and not to just do the work for the students.

Quick Check

What is the primary trade-off when choosing between self-hosting an open-source model and using an open-source model on a cloud service?

A) Cloud services are more private, while self-hosting is faster.

B) Self-hosting offers absolute privacy but is limited by your hardware, while the cloud offers immense power but relies on contractual privacy.

C) Self-hosting gives you access to more models, while the cloud has fewer options.

Recap: Advanced Use of AI

What we covered:

This chapter provided a deeper understanding of the AI ecosystem beyond basic chatbots.
We learned about the different ways AI is packaged and delivered, from premium subscriptions to secure enterprise solutions and flexible open-source setups.
We explored the tools and platforms, like Hugging Face and the Chatbot Arena, that allow you to find and evaluate the best AI for your needs.
We looked ahead at the exciting future of multi-modal AI, new hardware like AI glasses, and the growing global landscape of AI development.

Why it matters:

Being an advanced AI user means understanding the trade-offs between different models and platforms. This knowledge allows you to choose the right tool for the job, use it safely, and better understand the forces shaping our technological future.

Next up:

It's time to test your knowledge! The final lesson of this chapter is a quiz covering all the advanced concepts we've discussed.

Jon AI Services