Researchers from Microsoft and Georgia Tech have found statistical lower bounds for hallucinations in Language Models (LMs). These hallucinations can cause misinformation and are concerning in fields like law and medicine. The study suggests that pretraining LMs for text prediction can lead to hallucinations but can be mitigated through post-training procedures. Their work also offers a calibration method for generative models at the semantic level, aiming to distinguish between facts and hallucinations more accurately.
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Practical AI Solutions for Middle Managers: Understanding Language Model Accuracy
Concerns: Language Models (LMs) can sometimes give wrong information, like citing articles that don’t exist. This can lead to serious issues, such as legal penalties or medical negligence.
Research Insights:
Researchers have identified a way to measure how often LMs might give incorrect information (hallucinations). This is important for improving the accuracy of these AI systems.
Technical Breakdown:
Language Models work by predicting text based on the probability of word sequences. Despite being designed for accurate predictions, LMs can still hallucinate. Understanding the rate of hallucination helps in managing this challenge.
Solving Hallucination Issues:
Through pretraining and post-training methods, the rate of hallucinations can be reduced. This makes LMs more reliable.
Calibration for Better Accuracy:
The study introduces a new way of checking if an LM’s predictions match real-world data. This can ensure that the information provided by LMs is credible.
Value for Your Company:
Integrating AI into your business processes can give you a competitive edge. Here’s how to do it:
- Identify Automation Opportunities: Find areas where AI can enhance customer interactions.
- Define KPIs: Set clear metrics to measure the success of your AI projects.
- Select an AI Solution: Pick tools that meet your business needs and can be tailored to your requirements.
- Implement Gradually: Start small, analyze results, and expand AI use wisely.
For specialized guidance on AI and KPI management, email us at hello@itinai.com. Stay updated with AI news on our Telegram channel t.me/itinainews or Twitter @itinaicom.
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