Hybrid AI Emerges to Improve LLM Reliability
In brief
- Companies like Instacart and Salesforce are now using hybrid AI to address the reliability problem of large language models.
- These models can be unreliable and make mistakes.
- Hybrid AI uses predictive AI to find and fix potential errors.
- This is important because large language models are not reliable enough to be used on their own.
- For example, a recent study found that the best large language model was only able to complete 24% of tasks correctly.
- Hybrid AI will continue to grow and improve the reliability of large language models in the future.
Terms in this brief
- Hybrid AI
- Hybrid AI combines large language models with other systems to enhance reliability and accuracy. By using predictive AI to identify and correct potential errors, it ensures that LLMs perform more reliably in real-world applications, making them suitable for tasks where accuracy is critical.
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