DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

DeepSeek LLM: Open-Source Models Getting Bigger, Smarter, and Built to Last

DeepSeek LLM is a new open-source project that aims to scale language models with a longterm view, its goals are simple but bold.
The team use two sizes, 7B and 67B, to see how training at scale changes what models can do, and the results surprise.
They trained on a huge, growing dataset now at about 2 trillion tokens and counting, which helps the models learn more patterns than before.
After extra tuning the chat versions give smarter answers in code, math and reasoning, sometimes beating bigger models at real tasks.
On many tests DeepSeek 67B beats LLaMA-2 70B in a few areas, and it also looks stronger than GPT-3.
5 in open talk, that was unexpected.
This shows open work, longterm thinking and lots of data can shift who leads in language AI, so if you like tech anyone can use, keep an eye on DeepSeek, it's made to be shared.

Read article comprehensive review in Paperium.net:
DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

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