Super proud of this work by my student @keshigeyan and our collaborators on pushing the benchmarking of LLMs for spatial and temporal reasoning onto another level! We’ll present this at #NeurIPS2024 !🔥🎥
From @AbacusAI at https://t.co/X3pEy4w9mb
A simple framework for understanding agents:
• Connect to any data source or vector store
• Use a code execution engine
• Orchestrate with other ML models
• LLM-agnostic for flexibility
• Designed for chat or task-based operations
🚀 We are thrilled to introduce AFlow: Automating Agentic Workflow Generation
AFLOW autonomously generates & optimizes workflows using Monte Carlo Tree Search:
• Beats human-designed workflows in Coding, Math & QA
• Achieves GPT-4o-level on HumanEval at just 4.55% of its cost
• 96.2% HumanEval accuracy using GPT-4o with AFLOW
• Generate custom workflows in 1.5h with just an eval function
Explore more:
📄 Paper: https://t.co/O11mJwo0ci
💻 Code will be available at https://t.co/zD26C4BtxJ