Theron is for ML and AI engineers building MLOps, LLM, RAG, and agent systems who know a model is only as good as its eval. Tell Theron what you want the model to do and it builds the eval harness first, so every change is measurable against a baseline. Chasing a paper? Theron reads it and brings back what's load-bearing, synthesized into a model card. Theron, the AI you talk to, is made by Vext Labs.
A config-driven training and eval harness with a metrics writer, dry-run on a toy batch, plus a model card synthesized from the technique you're chasing.
Builds a config-driven training and eval harness with a metrics writer so progress is measurable from day one
Reads the technique or paper you're chasing and synthesizes what's load-bearing into a model card
Runs a dry-run on a toy batch so the harness is proven before a real training run
Builds a config-driven training and eval harness with a metrics writer so progress is measurable from day one Reads the technique or paper you're chasing and synthesizes what's load-bearing into a model card Runs a dry-run on a toy batch so the harness is proven before a real training run Pins down what regressed and against which baseline before suggesting a fix Keeps research, code, metrics, and notes together across Code, Research, Sheet, Deliverables, and Brain tabs Anchors every decision in measured eval results rather than intuition
A config-driven training and eval harness with a metrics writer, dry-run on a toy batch, plus a model card synthesized from the technique you're chasing.