THE FUTURE OF AI ARE INCREDIBLE FLOWCHART SOLUTIONS

This video is about what the future of artificial intelligence and the programming of such components will look like. We have a version here that we have deployed on Render.com today and that is able to map simple workflows with a graphical representation, but also to implement significantly more complex things without having to do a lot of programming. Such flow chart solutions will become increasingly popular in the future, because they allow you to do two things at once. The first is that you can see how the components work together. And the second is the ability to add further components or simply replace components through these shifts and interactions on the chart. This is much quicker and clearer than having to program everything yourself. If you want to take a look at what this means here, we have an entry point and we have a so-called chat trigger. This uses a simple LLM chain from LangChain and an OpenAI Large Language Model. And if I click on Chat here, I can now talk to the model here and get answers. For example, if I ask how much two plus two is, I get the answer: that’s four. I can now select different model types here and I can now add a prompt here. In my case, I have said that the model should always answer in German. I can simply change that here, save it here, start the chat again and ask: What is three plus three? The answer is six. Who is Joe Biden? And now I get an English answer here. I can then integrate this workflow into an external website. And of course I can also do other things here. I can append processing steps, filter or perform if-then-else statements. I can also wait for something or start a different workflow. And this is what the future of artificial intelligence looks like. We’ll be doing less programming and much more assembling things via flowcharts like this, similar to puzzle pieces. If you are interested in building such solutions, you can currently join the starter course on our website for one euro and start building your own solutions for your company. That’s it for this video. Thank you for watching and I’ll see you in the next video.