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We’ve done quite a bit in n8n, but we haven’t really created any meaningful connections. And by meaningful connections, I mean connecting to the likes of Google, Slack, Airtable, or other tools you might be using. So far, we have a manual process for entering user text into a...
I don’t know about you, but I get bored manually trudging through an interaction with an LLM. We say something, it says something back, and on and on, until we get what we need. Worse still, in previous steps we took a single interaction with ChatGPT to analyse user...
Do you have ideas about what you want to do with AI, but just don’t know where to start? Or you don’t even know what you can do with AI in the first place. What both scenarios have in common is a lack of understanding of AI’s capabilities beyond...
Set Up Open WebUI with Ollama, Docker, and OpenRouter for Multi-Model Chat What if you could test multiple AI models side-by-side? Not just models from the expensive model vendors, but also your new favourite local model. Want to know what the best model is for experiment ideation? What about...
The chat interface is a great way to get started with AI. I mean, what could be more accessible than simply having a conversation with a new piece of technology? But there comes a point when the chat interface becomes limiting. For instance, suppose we wanted to thoroughly test...
In part 1 of this series, we had a look at LM Studio and explored small models. I found a really good model, Qwen 3, which had 1.7 billion parameters. It performed well, comparable to models of about one to two gigs in size. However, there was a promising...
