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Meta has recently launched Llama 3, a powerful new AI model, showcasing significant advancements in large language models (LLMs). This model, which includes variants with 8 billion and 70 billion parameters, has been trained on a massive 15 trillion token dataset, enhancing its performance to rival or even surpass existing models like GPT-4. Notably, Llama 3 is available for free and ensures user privacy as no data leaves the user's device. The release of Llama 3 has sparked a wave of development in AI applications, with various fine-tuning and usage examples rapidly emerging across platforms like HuggingFace. Additionally, the AI community is eagerly discussing the potential implications of Llama 3 for the future of AI technology.
$NVDA Microsoft launches smaller AI models that provide “good enough” capabilities for many, but at a fraction of the cost (the models don’t need high-end Nvidia chips to function) https://t.co/nG8DZveucy
This take on the FineWeb release is one of the most interesting feedback and also a reason FineWeb is very different from even larger datasets like RedPajama-V2 (which is double its size!) Surprisingly, the size of the dataset of 15T tokens is not very important, what is much… https://t.co/hdEMsm6LKx
Check out this lightning fast @GroqInc LLama3-70B inference in @cursor_ai IDE with the @codegptAI plugin. Here I pit it against Claude Opus generation time. The difference is incredible. Claude and GPT still generate better code but a few fine tunes and Llama3-70B and 400B… https://t.co/8rwpj8kGzd
