Model training7 mins read
Agents fail less on reasoning than on mechanics: the wrong argument format, a skipped confirmation step, a retry that never ends.
Train against a sandbox that mirrors your real tools and data, with rewards for completing the task and penalties for unsafe actions.
Model training
Build frontier models and agents that learn from experience.Why the next generation of enterprise AI will be trained on your own work, and what it takes to run that loop safely.General-purpose models are remarkable, but they don't know your contracts, your claims rules or the shorthand your engineers use. The gap between a demo and a dependable system is almost always domain knowledge.Learning from experience closes that gap. Instead of prompting harder, you let a model practise on your tasks, score the results against what good looks like, and keep the improvements.Continue readingModel training
What's new in the model catalog: 174 open-weight modelsNew MoE releases, longer contexts and per-model correctness tests: the autumn update to the catalog.4 mins readModel training
Collecting multimodal training data with consentFrom egocentric video to contact-centre calls: how we record, label and deliver training-ready datasets.5 mins readProducts
Turn one-off answers into scheduled reports with CoworkerAsk once, then let Coworker deliver the answer every Monday, shared with the people who need it.3 mins readResearch
The silent failure in long RL runs: trainer–inference mismatchA tiny numerical gap between rollout and training log-probs can bend a week of learning. How we detect it early.8 mins readResearch
Human preference optimization, explainedRLHF, DPO and what preference data really needs to look like for enterprise assistants.7 mins read
Guides
Most teams reach for prompting first, and they should. It's fast, cheap to change and easy to review. But prompts hit a ceiling when a task needs a consistent format, specialised vocabulary or behaviour that's hard to describe in words.
5 mins readContinue ReadingProducts
Pinned story packets: how Developer keeps builds traceableEvery coding task carries the exact scope, PRD and TDD versions it was approved against.4 mins readGuides
Build an evaluation set your team will actually trustFifty real cases beat five thousand synthetic ones. A step-by-step guide to evals for production models.6 mins readProducts
Turning the GPUs you own into a model labRun the same training, inference and Console on your own cluster, with your data and weights in your environment.4 mins readGuides
A red-teaming checklist for enterprise assistantsTwelve probes every assistant should survive before it meets a customer, with examples from regulated industries.6 mins readResearch
How much domain data is enough?Early results on scaling curves for domain adaptation, and why the first thousand examples matter most.9 mins readProducts
A tour of the Training ConsoleRuns, checkpoints and deployments in one place, without losing sight of the experiment.3 mins readGuides
Serving your fine-tuned model behind an OpenAI-compatible APISwap a base URL and keep your existing client code. A short guide to going from checkpoint to endpoint.4 mins read// Ready to see the DataObserve in action?
// Designed for enterprises
GDPR Compliant & SOC2 Type II Certified. Enables HIPAA compliance.
Turn acquisition and asset data into faster investment decisions.
Turn acquisition and asset data into faster investment decisions.
Turn acquisition and asset data into faster investment decisions.
