Ensuring Safety and Trustworthiness in Generative AI with Guardrails
Briefly

The article discusses the rapid advancement of generative AI, which allows models to create content such as text and images. Prominent examples include OpenAI's GPT, Google’s Gemini, and IBM’s models. While these technologies have transformed natural language processing, they also pose risks including misinformation, bias, and inappropriate outputs. To address these challenges, the concept of ‘guardrails’ is introduced—tools and protocols that promote safe, ethical, and correct usage of AI technologies, thereby ensuring reliability in generative AI applications.
AI's rapid growth spotlighted generative applications like ChatGPT and Google's Gemini, but they've also sparked concerns over misuse, hallucinations, and bias.
Guardrails are essential in generative AI to mitigate risks and ensure ethical usage while maintaining the integrity of AI-generated content.
Read at Medium
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