smougel

Not related to code... But when I use a LLM to perform a kind of copy/paste, I try to number the lines and ask it to generate a start_index and stop_index to perform the slice operation. Much less hallucinations and very cheap in token generation.

The current culture about AI & LLMs is that we are "only" memorizing the Web into model parameters and that a LLM is unable to "invent" new paradigms. Maybe we are under estimating what Unsupervised Learning & RL could provide. Re-inforcement learning is about exploring and finding new ways to accomplish a task and I see no limit here (except the computational resources needed).

Content semantic maps allows to visualize content of a website in a 2d space. It allows new kind of usage : competitor analysis, conversion visualization, content gap analysis.

Keywords recommendations are refreshed every night.

You can expect some fluctuation depending of several factors (search queries extracted from Google search console etc.)

XLS Keyword export allows up to 10000 records extraction.

So true!

Huge work! That's awesome! The power of photoshop for Linux. No install. Supra fast! Wow!

Good job ! Please add something about namespaces.

Any Feedback Welcomed