Mixture of Memory Experts (MoME) | Data Brew | Episode 36
Data Brew by Databricks
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Navigating AI Accuracy Challenges
This chapter explores the complexities of achieving accuracy in AI systems, particularly focusing on the challenges data science teams face. It discusses the concept of 'hallucinations' in language models and the need for robust infrastructure to improve functions like text-to-SQL operations. Additionally, it emphasizes the importance of rigorous evaluations and tailored data solutions to enhance machine learning models' effectiveness in organizational settings.
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