Hello, K.AI — How I Trained a Chatbot of Myself Without Coding

Generative AI (GenAI) enables many new use cases for enterprises and private citizens. While I work on real-time enterprise scale AI/ML deployments with data streaming, big data analytics and cloud-native software applications in my daily business life, I also wanted to train a conversational chatbot for myself. This blog post introduces my journey without coding to train K.AI, a personal chatbot that can be used to learn in a conversational pace format about data streaming and the most successful use cases in this area. Yes, this is also based on my expertise, domain knowledge and opinion, which is available as public internet data, like my hundreds of blog articles, LinkedIn shares, and YouTube videos.

(Originally posted on Kai Waehner’s blog: “Hello, K.AI — How I Trained a Chatbot of Myself Without Coding Evaluating OpenAI Custom GPT, Chatbase, Botsonic, LiveChatAI”… Join the data streaming community and stay informed about new blog posts by subscribing to my newsletter)

Hi, K.AI — let’s chat…

The evolution of Generative AI (GenAI) around OpenAI’s chatbot ChatGPT and many similar large language models (LLM), open source tools like LangChain and SaaS solutions for building a conversational AI led me to the idea of building a chatbot trained with all the content I created…