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14min chapter
Only as good as the data
Practical AI: Machine Learning, Data Science, LLM
Evaluating Machine Learning Models with Data Benchmarking
This chapter focuses on the critical role of data evaluation in machine learning, particularly the necessity of reserving portions of data for model testing. It explores the use of benchmark datasets for refining and assessing model performance, while also considering the unique challenges posed by specific industry tasks. Additionally, the chapter discusses the integration of retrieval augmented generation within generative AI models and the importance of understanding data processes for effective deployment.
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