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How Do AI Content Detectors Work?

ODSC - Open Data Science

ChatGPT’s explosion in popularity has created a surge in AI-generated blogs, articles, emails, resumes, and academic papers. By analyzing each category, these models can learn common differences between them. Differences in AI and human-written content fall into two main categories — perplexity and burstiness.

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OpenAI Releases GPT Store

ODSC - Open Data Science

The GPT Store showcases popular and trending GPTs across diverse categories such as DALL·E , writing, research, programming, education, and lifestyle. One of the hopes of this new storefront is to help encourage users to discover and integrate these tools into their workflows. Interested in attending an ODSC event?

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This AI newsletter is all you need #34

Towards AI

This week we published a new blog Learn Prompting 101: Prompt Engineering Course & Challenges as a summary of Prompt Engineering and how to talk to LLMs and get the most out of them. Hottest News 1. It could be the next major platform upon which founders build category-defining products.

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5 Key Open-Source Datasets for Named Entity Recognition

Becoming Human

Consider a news article about a recent SpaceX launch. Document Classification : NER can help classify documents based on their class or category. Facilitate Research: Open-source datasets can be an invaluable resource for academic researchers, particularly those lacking the resources to collect their data. Disadvantages 1.Data

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Working as a Data Scientist?—?expectation versus reality!

Mlearning.ai

While the “best” model may be the one with the highest accuracy in an academic project, it is not necessarily the best model for the job. Consider a genre classification problem on content descriptions that needs to classify the text into one of five classes — entertainment, education, news, sports, and gaming. Let me guess…… Model 1?

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Data Science Journey Walkthrough – From Beginner to Expert

Smart Data Collective

For academics and domain experts, R is the preferred language. Learning the various categories of machine learning, associated algorithms, and their performance parameters is the first step of machine learning. For example, predict the stock price using the previous day’s price, market movement, and news.

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How we built better GenAI with programmatic data development

Snorkel AI

Experiments showed improvement across every major instruction category (up to 10 points), with boosts as high as 12 points for specific tasks (such as writing emails). Summarization : e.g., “Summarize the main points from this news article” Other : e.g., anything that did not fit the previous five categories. closed-qa 5851 31.9

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