🚀 Exploring Decision Automation in LLM Agents 🚀
At the intersection of AI and enterprise solutions, we’re pioneering decision automation technology aimed at creating systems that emulate domain experts. Our latest curiosity? Leveraging this tech for LLM-based agents in production.
Key Challenges:
- Inconsistent Decisions: Agents often yield different results from identical inputs.
- Opaque Reasoning: Difficulty in debugging the decision-making process.
- Demo-Only Tool Usage: Edge cases expose failures in real scenarios.
- Hallucinations: Decisions can be incomplete or unreliable.
- Limited Data Collection: Insufficient input gathering before acting.
🌟 Our Hypothesis: What if agents could use bespoke symbolic models for explainable, deterministic results? Would this bridge the critical gap to reliable production?
We invite AI professionals to share their experiences:
- What have you built?
- Any challenges shipping to production?
- Where is explainability crucial?
🤝 Join the conversation! Share your insights and help us shape the future of agent systems!