Compile real-world Claude Code and Codex trajectories into verified, tradable post-training assets.
Procedural data generators for verifiable reasoning, synthetic pretraining, post-training, evaluation, and RL.
Score the trustworthiness of outputs from any LLM in real-time
Open Arena: SLM verifiers across observability platforms, dataset and model catalogs, and value scenarios for LLM, agentic and harness evals.
An RL Enviorment for AES Inversion
A verifiers RLM environment for testing whether adaptive recursive search outperforms brittle manual RAG choreography on long synthetic corpora.
Adversarial QA for LLM-RL environments: find out what reward an empty answer earns. Model-free, zero API cost.
An open reinforcement-learning (RL) environment that trains LLM agents to use the current fact, not the stale one — verifiable reward for temporal fact-currency, built on verifiers / prime-rl (GRPO, LoRA).
Reproducible verifier audits, datasheets, agreement metrics, and release gates
Verifiers hello world repo
Research proposal for verifier-gated on-policy distillation with explicit evaluation and claim boundaries
A verifiers RL environment that trains models to propose novel, evidence-grounded, falsifiable hypotheses. Rewards novelty with accountability.
A verifiable RL environment for TRP ion-channel ligand pharmacology, built on Prime Intellect's Verifiers
Verifiable RL environments for corporate law & governance — deterministic reward, no LLM judge, fully synthetic worlds.
Three mechanically-verifiable RFT environments for the checkable 'rails' of a crypto market-structure (CLARITY Act) legal Impact Mapper.
Share the world, resample the consequences: deterministic record/replay of exogenous randomness for branching agent RL. 29x lower advantage variance with no loss of counterfactual fidelity.
Prime-RL / verifiers TSP environment (10-city hard config, lenient parser, eval-ready)
RL environment for AI coding agents: debug a stateful ledger with oracle grading, held-out scenarios, and adversarial soundness checks.
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