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Inferencing holds the clues to AI puzzles

CIO

A quick explainer: In AI inferencing , organizations take a LLM that is pretrained to recognize relationships in large datasets and generate new content based on input, such as text or images. Crunching mathematical calculations, the model then makes predictions based on what it has learned during training.

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With generative AI, IT must deliver knowledge…not just technology

CIO

As a result, knowledge workers can create content, low- and no-code solutions are more accessible, and team members from every layer of the organization have broader options for getting work done. Who better to train the workforce of the future than practitioners fluent in GenAI—both in how to build it and how to use it?

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Deep Agency shows the perils of applying AI to the fashion industry

TechCrunch

Tons of things, like automating content for social media influencers, models for marketeers’ ads and ecommerce product photography.” State-of-the-art image-generating systems like the type Deep Agency uses are what’s known as “diffusion models,” which learn to create images from text prompts (e.g.

Fashion 248
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4 ways to enable explainability in generative AI

CIO

For instance, if you start with a Monet painting and use an extended generative AI model trained on all Monet artwork and complementary artists, you can create an input dataset that includes images by the artist. Here are some key guidelines: Model simplification. Training data must be referenceable and audited for quality control.

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Sololearn raises $24M for its bite-sized, Duolingo-like mobile-first coding education app

TechCrunch

million Series A round in 2016 (Learn Capital and Prosus Ventures). Key to what Sololearn is doing is that it has taken a realistic approach: On mobile, people want short bursts of content, so coding education on that platform should follow from that. “We think the era of institutional learning is over.

Education 266
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How digital humans can make healthcare technology more patient-centric

CIO

The AI layer–whether generative, extractive or other forms–provides contextual conversation response, context recognition and for generative AI, content creation. For elderly patients, digital entities can be a companion to help reduce loneliness and isolation, a key determinant of a healthy lifestyle. Large Language Models (LLMs).

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ChatGPT, Author of The Quixote

O'Reilly Media - Ideas

TL;DR LLMs and other GenAI models can reproduce significant chunks of training data. Specific prompts seem to “unlock” training data. Generative AI Has a Plagiarism Problem ChatGPT, for example, doesn’t memorize its training data, per se. This is the basis of The New York Times lawsuit against OpenAI.

ChatGPT 116