Nvidia's Nemotron-4 340B
Synthetic Data + LLMs = 🚀
Good morning everyone! Nvidia just entered the LLM competition! In this iteration, we are talking about Nvidia's most recent publication, Nemotron-4-340B, which has the particularity of leveraging artificially generated data using its own model to train and refine its results.
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2️⃣ Training LLMs with Synthetic Data...
Have you ever wondered why training large language models is such a massive challenge?
The secret is the enormous amount of high-quality data these models need. But getting that data is incredibly tough.
While many people have tried to solve this problem in various ways, one of the most promising approaches is using synthetic data. It’s less expensive than other methods, but it does have a major drawback: the lack of diversity.
Recently, Nvidia’s new LLMs from their Nemotron family of models have addressed this issue. They’ve shared a pipeline for generating synthetic data that’s used for training and refining Nemotron-4-340B. Let's dive in!
Watch the video (or article version):
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Louis-François Bouchard