Neural networks possess inherent weaknesses including being 'black boxes' with opaque decision-making processes, being stochastic in nature which leads to inconsistent results for identical inputs, and being prone to hallucinations where they present false information as facts due to a lack of hard truth verification mechanisms.

Authors

• Person: Not available Organization: Cutter Consortium
  Building Better Agentic Systems with Neuro-Symbolic AI

Sources

• Building Better Agentic Systems with Neuro-Symbolic AI www.cutter.com Cutter Consortium via serper

Referenced by nodes (2)

• hallucination concept
• artificial neural networks concept