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Automated Fine-Tuning of LLAMA2 Models on Gradient AI Cloud

Analytics Vidhya

In the old days, transfer learning was a concept mostly used in deep learning. However, in 2018, the “Universal Language Model Fine-tuning for Text Classification” paper changed the entire landscape of Natural Language Processing (NLP). This paper explored models using fine-tuning and transfer learning.

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12 Alternatives of Sora Easing Our Work in 2024

Analytics Vidhya

Introduction In 2018, when we were contemplating whether AI would take over our jobs or not, OpenAI put us on the edge of believing that. Our way of working has completely changed after the inception of OpenAI’s ChatGPT in 2022. But is it a threat or a boon?

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Announcing DataHack Summit 2019 – The Biggest Artificial Intelligence and Machine Learning Conference Yet

Analytics Vidhya

DataHack Summit 2019 Bringing Together Futurists to Achieve Super Intelligence DataHack Summit 2018 was a grand success with more than 1,000 attendees from various. The post Announcing DataHack Summit 2019 – The Biggest Artificial Intelligence and Machine Learning Conference Yet appeared first on Analytics Vidhya.

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From Academia to Industry: How a 2018 Paper Foreshadowed OpenAI’s Latest Innovation

NYU Center for Data Science

The tweet linked to a paper from 2018, hinting at the foundational research behind these now-commercialized ideas. Back in 2018, recent CDS PhD grad Katrina Drozdov (née Evtimova), Cho, and their colleagues published a paper at ICLR called “ Emergent Communication in a Multi-Modal, Multi-Step Referential Game.”

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When the Earth Talks, AI Listens

NVIDIA

an AI model designed for speech recognition, to analyze seismic signals from Hawaiis 2018 Klauea volcano collapse. The AI model was tested using data from the 2018 collapse of Hawaiis Klauea caldera, which triggered months of earthquakes and reshaped the volcanic landscape. In contrast, deep learning models like Wav2Vec-2.0

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New AI Innovation Hub in Tunisia Drives Technological Advancement Across Africa

NVIDIA

Built in collaboration with the NVIDIA Deep Learning Institute (DLI), the hub offers the training, technologies and business networks needed to help drive AI adoption across the continent. Since 2018, ESPRIT has been tapping into DLI to advance AI education. Learn more about the NVIDIA Deep Learning Institute.

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A multicenter study of neurofibromatosis type 1 utilizing deep learning for whole body tumor identification - PubMed

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Cancer 18, 500510 (2018). - Quackenbush, J., Schwartz, L. Artificial intelligence in radiology.