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blog.fastforwardlabs.com | ||
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jonathanbgn.com
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| | | | | Since the deep learning wave started in the early 2010s, there has been much hype and disappointments. I feel that a big part of this is due to high expectations driven by research progress that do not translate so well in real-world applications. Hopefully, self-supervised learning might be able to close the gap between these two worlds. This learning paradigm is not new, but it has seen a resurgence of interest over the past few years thanks to mediatized successes like GPT-3 or BERT. Many AI pundits h... | |
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blog.mozilla.ai
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| | | | | The behavior of ML models is often affected by randomness at different levels, from the initialization of model parameters to the dataset split into training and evaluation. Thus, predictions made by a model (including the answers an LLM gives to your questions) are potentially different every time you run it. | |
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github.com
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| | | | | ?? Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. - Pulse · huggingface/transformers | |
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www.rapidops.com
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| | | OpenAI's GPT models are taking over the creative space like never before! Check out what the newest version - GPT-4, has in store! | ||
