Writing/Publishing

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Using ChatGPT

Data Storytelling for Business

Language/Grammar Checkers

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Use machine learning and Natural Language Processing (NLP) technology to find writing errors and offer suggestions; highlight redundant sentences, passive voice, adverbs, and repeated words, etc.

Tools:

Publishing

As a publisher, you are under increasing pressure to produce engaging content. Audience engagement is an always moving target, and there is more competition for attention every day. You cannot consistently engage your audience purely on intuition or guesswork. So, they turn to technology to help them understand their audience, and ultimately, the content that drives, and will drive, the most engagement. If a publisher can gain that valuable insight, they can generate engagement on-demand, and increase their readership. Analytics for Publishers: The Ultimate Guide to Content Analytics | NativeAI


Writer's Strike

Writers are also increasingly concerned that producers will use artificial intelligence to write scripts or at least fill in the blanks on unfinished screenplays. The fast-advancing technology has potentially widespread ramifications for Hollywood, and, in some cases, may be a useful tool. But the Writers Guild of America (WGA) wants production companies to agree to safeguards around its usage. - What do striking Hollywood writers want? A look at demands | AP

The union wants its collective bargaining contract to guarantee that:

  • AI won't write or rewrite literary material.
  • AI won't be used as source material.
  • Union-covered material won't be used to train AI.

Legally

Will there be legal implications to using artificial intelligence to write novels?

Model Publishing

TensorFlow Hub: Making model discovery easy (TF Dev Summit '20)
TF Hub is the main repository for ML models. This talk looks into all the new features and how you can use Hub in your model discovery journey. Sandeep Gupta - Product Manager Resources: TensorFlow Hub → https://goo.gle/32XwUY9 GitHub → https://goo.gle/3cGLdFc Neural style transfer → https://goo.gle/2VPlqEE Text classification with TensorFlow Hub → https://goo.gle/2VQZHMp Watch all TensorFlow Dev Summit 2020 sessions → https://goo.gle/TFDS20 Subscribe to the TensorFlow YouTube channel → https://goo.gle/TensorFlow

Tech Talks 2019: Building Applications with the Neural Net Repository
Tuseeta Banerjee discusses BERT, GPT2, and curated neural net models using the Wolfram Neural Network Framework in Version 12 of the Wolfram Language.

AWS CodeCommit | Concept | Demo:- Create, Clone, Commit, Push into Repository Using Git commands
Video will help us to understand the concept of Amazon AWS CodeCommit and how we can configure the repo along with performing different type of version control operations using Git commands.

Neural Networks in the Wolfram Language
In this first webinar of the three-part Machine Learning webinar series, learn how to use the built-in neural net framework and build a net model from scratch, as well as how to work with a ready-to-use model from the Neural Net Repository.

Other Approaches