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expertOpenAIAnthropicSierra

RL-train a 7B model to use SQL and a calculator with no human feedback on intermediate steps.

Reward only on the final answer and learning crawls; shape intermediate tool calls and the model learns to spam SQL. Use outcome-grounded credit assignment, GRPO over a group of trajectories, and fine-tune a pre-aligned model so you're not teaching tool syntax from scratch.

Updated Aug 2026 · Grounded in real Forward Deployed Engineer interview loops and written to a senior-engineer editorial bar.

Reward only on the final answer and learning crawls; shape intermediate tool calls and the model learns to spam SQL. Use outcome-grounded credit assignment, GRPO over a group of trajectories, and fine-tune a pre-aligned model so you're not teaching tool syntax from scratch.

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Next in this trackSpend a 1000-token test-time budget on a math problem: process-reward scoring with tree search.PremiumNext in this trackClassify 100M product descriptions with an LLM when the budget covers a fraction. Design the pipeline.PremiumNext in this trackHere are 30 examples where our prompt gets the wrong answer. Improve it, show me the eval before and after, and do not overfit to the 30.Premium
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