Data Is Foundational
Posted: Sun Feb 09, 2025 10:55 am
AI projects can’t produce quality results based on bad data. Irrelevant or inaccurate data leads to irrelevant or inaccurate output. AI initiatives are simply too complex and too costly to get them wrong from the start because your data was bad.
Data is the foundation for AI; that’s how it gets rcs data malaysia trained, and then the trained model processes data according to the developer’s intention. Is your goal to use AI to help solve a business problem, including if you’re using a generative AI tool based on a large language model (LLM)? Then you’ll need to provide it with the proper business context – good data – so it can give you answers specific to that business context. In other words, you don’t just dump whatever data you have into the model.
Are you creating a new model? If so, you must know which data from your trove is appropriate for training and validating it. You need to segregate that data so you can train the model based on one set of data. Then you will validate the model against another set of data to make sure it’s working as intended.
Data is the foundation for AI; that’s how it gets rcs data malaysia trained, and then the trained model processes data according to the developer’s intention. Is your goal to use AI to help solve a business problem, including if you’re using a generative AI tool based on a large language model (LLM)? Then you’ll need to provide it with the proper business context – good data – so it can give you answers specific to that business context. In other words, you don’t just dump whatever data you have into the model.
Are you creating a new model? If so, you must know which data from your trove is appropriate for training and validating it. You need to segregate that data so you can train the model based on one set of data. Then you will validate the model against another set of data to make sure it’s working as intended.