Posts about ai. ← All posts
The course wrap-up: a Jupyter notebook driven by Go, using GoMLX for tensor ops and GoNB as the kernel. Showed me how to do exploratory Go AI work in the same shape data scientists already use.
A complete chat application: Go backend with RAG, React frontend, single binary. Showed me how to ship a full-stack AI demo without a separate frontend deployment.
An LLM that controls the output can embed malicious HTML, exfiltrate data via crafted links, or inject prompt-stealing payloads. Sanitisation is the defense; the example shows what to allow and what to strip.