Starting today, open source is leading the way. Introducing Llama 3.1: Our most capable models yet. Today we’re releasing a collection of new Llama 3.1 models including our long awaited 405B. These models deliver improved reasoning capabilities, a larger 128K token context
OPEN SOURCE
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Fine-tuning Llama-3.1-8B with High-Quality Reasoning Datasets
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What I'm excited about: Use Llama-3.1-405B to generate a high quality reasoning dataset, then fine-tune Llama-3.1-8B models.
— Jiquan Ngiam (@JiquanNgiam) 23 juillet 2024
Imagine having 4o-mini performance models, but open sourced, and tuned for your use cases. pic.twitter.com/mf9tMZ8vWMWhat I'm excited about: Use Llama-3.1-405B to generate a high quality reasoning dataset, then fine-tune Llama-3.1-8B models. Imagine having 4o-mini performance models, but open sourced, and tuned for your use cases.
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Meta Releases New Llama Model Update Blog Post
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Os dejo el link con el blog post de Meta. Yo voy a repasar la info y más que hacer un hilo, luego abrimos directo y comentamos la importancia de esta noticia 🙂 https://
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Llama 3.1 Now Available in Three Sizes: 8B, 70B, 405B
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¡LLAMA 3.1 YA ESTÁ AQUÍ! En sus tres tamaños… 8B, 70B y 405B
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Technical differences between closed and open-source AI models
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Les modèles fermés ont des verrous post et pré traitement pour empêcher d’emmener le modèle n’importe où. Les modèle ouvert non c’est brut.
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Open Source AI Models Closing the Performance Gap with Closed Models
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Wow, l’open source vient doucement mais sûrement dominer le marché de l’#IA ! Les performances des modèles fermés de Google, Anthropic ou OpenAI suivent une courbe logarithmique, tandis que les performances des modèles ouverts comme Meta ou Mistral AI, bien que parties de
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Llama 3 405B Matches GPT-4o Performance on MMLU PRO
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Leaks look credible, Llama 3 405B is GPT-4o class It even outperforms GPT-4o (72.55%) and Claude 3.5 Sonnet (72.83%) in terms of MMLU PRO. The new 70B also looks insane with a significant boost of performance compared to the previous version. Note that these evals are not
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Open Source Transforming AI and Hardware Innovation
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Watch @jimkxa
, @RajaXg , Chris Walker of @UntetherAI and Charlie Cheng, Board Advisor for @Andes_Tech talk about how #OpenSource is transforming AI and hardware: -
Llama-3.1-405B for Training Dataset Generation
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Who's going to use Llama-3.1-405B to generate the best training dataset for small models?
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Open Source to Dominate: Smaller Models Over Large Language Models
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This also means that Open Source is going to dominate in the future – training and serving smaller models is more accessible to many. The large models are going to useful for generating and filtering data, while the smaller models (e.g., 4o-mini) are the ones we want deployed.