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when familiarizing yourself with how to use ChatGPT.

 The same percentage reported that data professionals in their organization actively check for skewed or biased data during data ingestion.Only 36% reported that data professionals actively check for skewed or biased data at several stages of model development.

of course; at least 42% of technologists responding said the AI life cycle data-sourcing stage is very challenging.reported that they scan training and testing data to detect the underrepresentation of protected characteristics and attributes.Many are facing the challenges of trying to build great AI with poor datasets.

is to the success of an AI model has brought teams together to solve for these challenges.with 81% stating its very or extremely important and 97% agreeing that human-in-the-loop evaluation is important for accurate model performance.

but there are many roadblocks to overcome

Transformers repeatedly apply a self-attention operation to their inputs: this leads to computational requirements that simultaneously grow quadratically with input length and linearly with model depth.but you can also have it write like a teacher.

The helper: this is a clerk in the store.lets get into how to construct a detailed prompt.

Also: 5 ways to explore the use of generative AI at workAnd from the journalist identity: From a journalistic perspective.One of my favorite things to do is ask ChatGPT to justify its responses.