🚀 Exploring Decision Automation in AI Agents 🌟
At the forefront of AI innovation, we’re diving into the intersection of decision automation technology and LLM-based agents. While enterprise systems thrive on structured logic and knowledge-based models, we’re curious about their potential to enhance real-world AI applications.
Key Challenges We’re Addressing:
- Inconsistent Decisions: Agents often yield varying outcomes from the same input.
- Opaque Reasoning: Debugging and establishing trust in agent logic is complex.
- Tool Reliability: Demos may impress, but edge cases can falter.
- Hallucinations: Incomplete decision-making hampers deployment.
- Data Gaps: Gathering missing information before action is limited.
🔍 Call for Insights!
We want to know:
- Have you implemented agent-based systems?
- What hurdles have you faced in production?
- Where do you see the need for determinism and consistency?
We’re eager to learn! Share your experiences and thoughts. 💬✨