Building Reliable Agentic AI Systems
- Developing dynamic workflows with loops
- Implementing context discipline for transparency
- Addressing non-deterministic nature of AI decision points
The Internet’s Verdict: 70% Hyped, 30% Skeptical
Introduction to Agentic AI Systems
Experts weigh in on the importance of context discipline in building reliable Agentic AI systems.
Forum Insights
Forum voices express concerns about the non-deterministic nature of AI decision points and the need for transparency.
What was the main driver for a dynamic workflow with loops vs a rigid forward running only workflow. The non-deterministic nature of these loops with LLM decision points doesn’t mesh well with the transparency requirement imho
Others highlight the importance of context discipline, noting that larger context windows do not remove the need to decide what the model should not see.
The part about context discipline feels underrated. Larger context windows don’t remove the need to decide what the model shouldn’t see.
Addressing Concerns and Criticisms
Some critics question the role of AI in content creation, pointing out inconsistencies in the use of AI tools.
The first sentence makes it seem like they just used to improve sentence structure etc but the second line makes it seem like they used it for 90% of the work. Which one is true?
Others raise concerns about the credibility of experts and the potential for scams.
isn’t this basically saying that you are a scammer? or am I paranoid?
Focus Keyword: Agentic AI
