Why SLMs are the key to truly enforcing AI behavior with guardrails
Blog post from Aporia
Aporia's latest market overview report highlights the importance of AI oversight to prevent security and reliability issues. The company emphasizes that guardrails built on small language models (SLMs) are superior for enforcing behavior due to their high accuracy and fast latency compared to large language models (LLMs). Aporia's Guardrails, built on a multiSLM Detection Engine, provide real-time protection against all security and reliability threats in AI applications. The company's 2024 benchmark report shows that its guardrails outperform those of Nvidia/NeMo and GPT-4o in terms of latency and detection accuracy for hallucinations and other factors.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| LLM | 44 | 3,395 | 435 | 161 | -16% |
| Agent Evaluations | 12 | 66 | 19 | 11 | +18% |
| Real-time | 6 | 3,721 | 887 | 235 | -20% |
| AI Guardrails | 5 | 206 | 63 | 34 | -30% |
| AI Agents | 3 | 894 | 163 | 79 | +48% |
| AI Model Fine-tuning | 3 | 576 | 147 | 74 | -37% |
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