Automate Agentic Workflow of LLMs - AFLOW (NEW)
AI Summary
Summary of Agentic Workflow Methodology Video
- Introduction to a new methodology for agentic flow.
- Definition of agentic workflow: sequences of operations (nodes) executed by language models (LLMs) to complete complex tasks.
- Agentic workflows vs. autonomous agents:
- Agentic workflows: static, predefined processes with multiple LLM invocations.
- Autonomous agents: dynamic, flexible decision-making.
- Recent efforts aim to automate the design of agentic workflows, categorized into:
- Automated prompt optimization: optimizing prompt structure within fixed workflows.
- Hyperparameter optimization: optimizing predefined parameters within a dynamic system.
- Automated workflow optimization: optimizing entire workflow structures.
- A new study introduces a methodology for automated workflow optimization called “A Flow.”
- A Flow uses code to represent workflows and introduces a more detailed structure called a “node.”
- Nodes represent LLM invocations with parameters such as the model, prompt structure, temperature, and output format.
- Edges represent connections between nodes and can be constructed as graphs, neural networks, or code structures.
- Operators are predefined node combination functions.
- A Flow uses a Monte Carlo tree search algorithm for workflow optimization, leveraging structured experience and execution feedback.
- The optimization process involves:
- Soft mix probability selection.
- Expansion of nodes using LLM intelligence.
- Execution and evaluation of modified workflows.
- Backpropagation of evaluation results to inform future decisions.
- The process continues until convergence criteria are met or a maximum number of iterations is reached.
- A Flow showed a 20% improvement over existing automated approaches and a 5.7% average improvement over state-of-the-art baselines on six benchmark datasets.
- The methodology aims to reduce human effort and costs in creating complex agentic AI workflows.
Detailed Instructions and Tips
- No specific CLI commands, website URLs, or detailed instructions were provided in the transcript.
- The video discusses theoretical concepts and methodologies rather than practical implementation steps.