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lambdalabs.com | ||
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blog.moonglow.ai
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| | | | | Parameters and data. These are the two ingredients of training ML models. The total amount of computation ("compute") you need to do to train a model is proportional to the number of parameters multiplied by the amount of data (measured in "tokens"). Four years ago, it was well-known that if | |
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hpc-ai.com
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| | | | | Colossal-AI offers an open-source solution to efficiently replicate ChatGPT-like model training at high speed and low cost. | |
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lacker.io
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| | | | | I've been playing around with OpenAI's new GPT-3 language model. When I got beta access, the first thing I wondered was, how human is GPT-3? How close is it ... | |
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aras-p.info
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