Joshua G. Ortiz Baco

Joshua G. Ortiz Baco

Assistant Professor & Digital Scholarship Librarian in the Department of Data and Digital Scholarship

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Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

category2

Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

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cool posts

Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

for_loops

generative ai

AI Summer Day 1

24 minute read

Published:

Commonly used transformers in generative AI are decoder, encoder, and encoder-decoder. The decoder is used for language modeling, the encoder is used for classification, and the encoder-decoder is used for translation. The encoder-decoder is the most commonly used transformer in generative AI. Transformers are used in generative AI because they are able to learn long-term dependencies. Transformers are also used in generative AI because they are able to learn from unlabeled data. Transformers are also used in generative AI because they are able to learn from unlabeled data. Transformers are also used in generative AI because they are able to learn from unlabeled data. Transformers are also used in generative AI because they are able to learn from unlabeled data. Transformers are also used in generative AI because they are able to learn from unlabeled data. Transformers are also used in generative AI because they are able to learn from unlabeled data. Transformers are also used in generative AI because they are able to learn from unlabeled data. Transformers are also used in generative AI because they are able to learn from unlabeled data. Transformers are also used in generative AI because they are able to learn from unlabeled data. Transformers are also used in generative AI because they are able to learn from unlabeled data.

javascript

professional_development

transformers

AI Summer Day 1

24 minute read

Published:

Commonly used transformers in generative AI are decoder, encoder, and encoder-decoder. The decoder is used for language modeling, the encoder is used for classification, and the encoder-decoder is used for translation. The encoder-decoder is the most commonly used transformer in generative AI. Transformers are used in generative AI because they are able to learn long-term dependencies. Transformers are also used in generative AI because they are able to learn from unlabeled data. Transformers are also used in generative AI because they are able to learn from unlabeled data. Transformers are also used in generative AI because they are able to learn from unlabeled data. Transformers are also used in generative AI because they are able to learn from unlabeled data. Transformers are also used in generative AI because they are able to learn from unlabeled data. Transformers are also used in generative AI because they are able to learn from unlabeled data. Transformers are also used in generative AI because they are able to learn from unlabeled data. Transformers are also used in generative AI because they are able to learn from unlabeled data. Transformers are also used in generative AI because they are able to learn from unlabeled data. Transformers are also used in generative AI because they are able to learn from unlabeled data.

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