RT HORSE 🏴‍☠️ (@TheFlowHorse)The Kraken acquisition is already paying off for @breakoutprop traders.This feedback says it all, payouts are now hitting accounts in minutes.Faster payouts don’t just mean convenience, they build trust. Speed and reliability are the backbone of any serious online prop firm. https://t.co/yiuwVGeNih ...

Key Takeaways on LLM Evaluation - LLMs can be unreliable, impacting user experience and application usability [6] - AI applications are prone to failure in production despite successful demos [7] - It is crucial to build reliable software using LLMs through methods like prompt engineering [8] Evaluation Strategies and Best Practices - Evals should focus on relevant user queries and avoid out-of-bounds scenarios [19] - Data collection methods include thumbs up/down feedback, log analysis, and community forums [21][22][23] - Evals should test across the entire data distribution to understand system performance [20][24] - Constants should be factored into data, and variables into tasks for clarity and reuse [25][26] - Evaluation scores should be deterministic and simple for easier debugging and team collaboration [29][30] - Evals should be integrated into CI pipelines to detect improvements and regressions [34][35] Vercel's Perspective - Vercel's Vzero is a full-stack web coding platform designed for rapid prototyping and building [1] - Vzero recently launched GitHub sync, enabling code push and pull directly from the platform [2] - Vercel emphasizes the importance of continuous evaluation to improve AI app reliability and quality [37] - Vercel has reached 100 million messages sent on Vzero [2]

Ethereum Value Proposition - Institutions value Ethereum for its stability and reliability [1] - Ethereum's uptime is a key factor in its institutional appeal [1]