Remove category inflation
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Kinetic Consulting launches Macky AI – the first AI business consulting platform available to any business

AI News

Kinetic Consulting , the leading boutique consulting company providing business growth consultancy, has released macky.ai , the first AI business consulting platform that offers any organisation an easy, non-prompt-based AI consulting solution for up to 55 different business categories. What is Macky AI?

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Intelligent Document Processing with AWS, Mastering Data Visualization, GPT-4 Turbo, and ODSC West…

ODSC - Open Data Science

Google Brain Co-Founder Claims Tech Companies Inflating Fears About AI Risks Andrew Ng, co-founder of Google Brain, claims that companies are inflating fears about risks associated with AI. Dan will address the four categories of catastrophic AI risks: malicious use, AI race, organizational risks, and rogue AIs.

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Renewable energy trends and developments powering a cleaner future

IBM Journey to AI blog

The European Union’s Green Deal Industrial Plan, India’s Production Linked Incentives (PLI) and the Inflation Reduction Act (IRA) in the US are all policies designed to further stimulate the integration of sustainable energy. To develop renewable energy technology, governments are turning to various public policy measures.

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Fake Reviews: Maybe You Should Be Worried About AI’s Writing (and Reading) Skills

Towards AI

Algorithms also refer back to reviews to determine a product’s ranking in a category. This means that computer-generated reviews can be weaponized to either inflate or deflate marketplace ranking artificially, resulting in unfair competition.

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An Overview of Extreme Multilabel Classification (XML/XMLC)

Towards AI

In the second part, I will present and explain the four main categories of XML algorithms along with some of their limitations. Thus tail labels have an inflated score in the metric. XMLC overview The goal of an XMLC model is to predict a set of labels for a specific test input.

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GPT-Based Projects: 11 Business & Tech Factors to Consider Before You Start

Dlabs.ai

Each category might have different implications for both ethics and legality. Specific data points like health records, financial information, or personal identifiers are considered sensitive within these categories. Recognizing these subsets ensures you apply the necessary security measures and legal safeguards.

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Building Responsible Language Models with the NLP Test Library

John Snow Labs

for the tested model when evaluated on data subsets with individuals from each of these gender categories. Below is the example of a report generated for a Named Entity Recognition (NER) model, applying tests from five test factories: Category Test type Fail count Pass count Pass rate Minimum pass rate Pass?

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