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Numbers Station Labs has introduced Meadow, an open-source agentic framework designed for complete data workflows. Meadow is noted for its simplicity and effectiveness, achieving results within 3.6 points of the state-of-the-art on the Spider text-to-SQL benchmark and realizing lifts of up to 20 points. The framework aims to streamline the development and deployment of AI agents, which are increasingly used for autonomous task planning and execution. Meadow's release highlights the growing importance of AI agent infrastructure in accelerating generative AI application development.
🚀 Excited to see yet another major leap in AI: introducing Meadow by @NumbersStnAI ! Meadow harnesses the power of LLM agents to revolutionize data tasks. Here's why you should be excited: 🧵👇
Numbers Station Labs is extremely excited to release Meadow, the first and simplest agentic framework built for complete data workflows. Meadow is fully open source! 🪴💪🏼 Results against benchmarks below 🧵↓ https://t.co/zj9bjzn8x6
Numbers Station Labs is extremely excited to release Meadow, the first and simplest agentic framework built for complete data workflows. Meadow is fully open source! 💪🏼 Results against benchmark in thread 🧵↓ https://t.co/mxzcs02rbI