Pre-training has continued to evolve with the emergence of foundation models such as BERT, GPT, DALL-E, CLIP, and others. These models are pre-trained on large general-purpose datasets (often in the order of billions of training examples) and are being released as open source by well-funded AI labs such as the ones at Google, Microsoft, and OpenAI.
They allow startups, researchers, and others to quickly get up to speed on the latest machine learning approaches without having to spend the time and resources needed to train these models from scratch.
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