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Stock impact report

What Is The Difference Between Model Tuning And Training? [Forbes]

GoodRx Holdings, Inc. - Class A (GDRX) 
Company Research Source: Forbes
Neural network for artificial intelligence. Data mining. Business analytics. Two concepts that often get discussed interchangeably in the world of AI are model tuning and model training. If you've been working in AI, or tangentially involved in AI projects at your company, you've likely heard both terms mentioned in meetings with vendors or internally. My goal from this article is to clearly explain the difference between the two concepts, and explain when and why you may tune a model versus train a model. What is Model Training? Model training is the process of feeding a large dataset into a model, and allowing the model to learn patterns, relationships and correlations within the data. Models are deterministic - meaning they make accurate predictions based on prompts as to what correct answers will be - even when presented with new, unseen data. You would likely only train a new model in a few specific cases: When no pre existing model suits your needs When you have a vast Show less Read more
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