Advanced Evaluation
Design LLM-as-judge rubrics, direct scores and pairwise comparisons. Use for judge models, evals, position bias and calibration against human labels.
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Design LLM-as-judge rubrics, direct scores and pairwise comparisons. Use for judge models, evals, position bias and calibration against human labels.
Use when summarizing agent evaluations where autonomous, assisted, failed, timed-out, or invalid outcomes must remain distinct and comparable.
Access 20+ years of global financial data: equities, options, forex, crypto, commodities, economic indicators, and 50+ technical indicators.
Computer vision pipeline design and evaluation. Specialized in YOLO26, Segment Anything 3 (SAM 3), Vision Language Models, and real-time spatial analysis.
Query Equibles for US stock market data: SEC filing search, XBRL financial statements, earnings call transcripts, insider and 13F holdings, and daily prices.
Master comprehensive evaluation strategies for LLM applications, from automated metrics to human evaluation and A/B testing.
Master ERC-721 and ERC-1155 NFT standards, metadata best practices, and advanced NFT features.
Expert guide for configuring Odoo Accounting: chart of accounts, journals, fiscal positions, taxes, payment terms, and bank reconciliation.
Expert guide for Odoo HR and Payroll: salary structures, payslip rules, leave policies, employee contracts, and payroll journal entries.
Expert guide for Odoo Inventory: stock valuation (FIFO/AVCO), reordering rules, putaway strategies, routes, and multi-warehouse configuration.
Expert guide for Odoo Project and Timesheets: task stages, billable time tracking, timesheet approval, budget alerts, and invoicing from timesheets.
Compare raw and explicitly filtered options put/call ratios with documented premium, delta and expiry assumptions
Build financial models, backtest trading strategies, and analyze market data. Implements risk metrics, portfolio optimization, and statistical arbitrage.
Monitor portfolio risk, R-multiples, and position limits. Creates hedging strategies, calculates expectancy, and analyzes proposed stop-loss levels.
Calculate portfolio risk metrics including VaR, CVaR, Sharpe, Sortino, and drawdown analysis. Use when measuring portfolio risk, implementing risk limits, or building risk monitoring systems.
Run reproducible DeepSWE coding-agent benchmark evaluations through OpenRouter and mini-swe-agent.
Prove a data/AI/agent workflow end to end on a tiny sample, find cheap wins, then scale in cost-gated steps within budget.
Build comprehensive 3-5 year financial models with revenue projections, cost structures, cash flow analysis, and scenario planning for early-stage startups.
Crypto market briefing from live TraderSpy data: majors, funding, open interest, top-trader lean, fresh AI signals and screener movers. Use for "what's happening in crypto" or a recap.
Scan the most-traded crypto futures pairs for up to 3 technical conditions in one TraderSpy call, compare coins, and backtest what followed a condition. Use for "which coins are oversold".
Health-check crypto futures positions the user describes, with TraderSpy data: liquidation and stop distance, multi-timeframe read, funding and top-trader side. Reports only; never tells the user to close or add.
Track what top crypto futures traders hold on Binance, Hyperliquid, Bybit and OKX with TraderSpy: elite leaderboard, positions, trader profiles and history. Use for "what are whales doing".
Read one crypto futures pair with TraderSpy: 19 indicators on up to 3 timeframes in one call, key levels, funding, open interest and positioning. Use for "analyse BTC" or "is SOL oversold".
Fetch and explain TraderSpy's AI crypto futures signals: entry, take-profit ladder, stop, triggers, status against the live price, and how recent signals resolved. Use for "latest signals".
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