Articles on Generative AI that are boring, reliable, and immediately useful.
Generative AI is most strongly associated with exciting innovations like natural-language chatbots, image generation, and speech recognition. These are very exciting innovations and, in time, will grow into very cool software. No doubt.
But most teams haven’t yet clued in on the most immediately useful capabilities that Generative AI has to offer. These capabilities tend to be boring, incremental and reliable. They plug into existing full-stack architectures in a modular and reusable way.
This series of articles intends to shine light on these boring, practical use cases of Generative AI and, in so doing, help introduce technical teams to the industrial strength magic that GenAI already offers.
This is a list of articles I’ve written and planned on this topic.
- Web LLM lets you run LLMs natively in your frontend using the new WebGPU standard.
- How to reliably return well-structured JSON from LLMs using Function Calling.
- How Generative AI slashes data entry costs by 97% without training.
- User Intent Prediction (In Progress...)
- Data Cleaning
- Data Normalization
- Content Summarization
- Behaviour Prediction