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Generative AI use cases for the enterprise

IBM Journey to AI blog

Generative AI ( artificial intelligence ) promises a similar leap in productivity and the emergence of new modes of working and creating. Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.”

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Generative AI: The Idea Behind CHATGPT, Dall-E, Midjourney and More

Unite.AI

That is Generative AI. Generative models have blurred the line between humans and machines. With the advent of models like GPT-4, which employs transformer modules, we have stepped closer to natural and context-rich language generation. billion R&D budget to generative AI, as indicated by CEO Tim Cook.

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The Ascent of ChatGPT

ODSC - Open Data Science

Trained with 570 GB of data from books and all the written text on the internet, ChatGPT is an impressive example of the training that goes into the creation of conversational AI. ChatGPT is a next-generation language model (referred to as GPT-3.5) The generative AI space is seeing an accelerated level of funding activity.

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How AI saves money and improves banking complaint handling

Snorkel AI

AI can also help banks better understand the root causes of complaints and develop more effective strategies to address and prevent them in the future. Then, they can distill that model’s expertise into a deployable form by having it “teach” a smaller model like BERT and applying it to their specific problem.

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How AI saves money and improves banking complaint handling

Snorkel AI

AI can also help banks better understand the root causes of complaints and develop more effective strategies to address and prevent them in the future. Then, they can distill that model’s expertise into a deployable form by having it “teach” a smaller model like BERT and applying it to their specific problem.

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How AI saves money and improves banking complaint handling

Snorkel AI

AI can also help banks better understand the root causes of complaints and develop more effective strategies to address and prevent them in the future. Then, they can distill that model’s expertise into a deployable form by having it “teach” a smaller model like BERT and applying it to their specific problem.

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Large Language Models for Product Managers: 5 Things to Know

AssemblyAI

The widespread use of ChatGPT has led to millions embracing Conversational AI tools in their daily routines. This trend started with models like the original GPT and ELMo, which had millions of parameters, and progressed to models like BERT and GPT-2, with hundreds of millions of parameters. months on average.