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156K views · 571 reactions | Introducing Meta Llama 3: the next...
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10K views · 191 reactions | Some context on why our smallest Llama 3 model went from 7B → 8B. More details on all the changes to the tokenizer and what they enabled us to do with Llama 3 in the full conversation with Aston Zhang ➡️ https://youtu.be/Tmdk_H2WDj4 | AI at Meta | Facebook
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4.8K views | Meta’s Llama 3 model (8B & 70B) is here! Have you tried it? What are your thoughts? #meta #llm #largelanguagemodels #generativeai #machinelearning #ai #programming #computerscience #computerengineering #datascience #nvidia | Cognitive Class | Facebook
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4.8K views | Meta’s Llama 3 model (8B & 70B) is here! Have you tried …
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Meta released Llama-3, a powerful open source AI Model that outperforms on the benchmarks models like Gemini or Claude. Llama-3 is available in 2 versions, 8B and 70B parameters. It has been trained on a dataset of 15T tokens which is 7x more than Llama-2. The context window is 8K tokens which can be extended, and the knowledge cutoff is December 2023. You can download the model or test it online on Meta AI. #ai #llama3 #metaai #aichatbot #opensource #aimodel cc: aisavvy | AI Mastery
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The Llama-Embed-Nemotron-8B text embedding model now ranks as the top open and portable model on the Hugging Face MMTEB leaderboard. Why it’s leading the race: ✅ Strong performance for retrieval, reranking, classification, and bi‑text mining ✅ Effectively handles retrieval in low-resource languages and cross-lingual setups ✅ Trained on 16M query‑document pairs (8M public 8M synthetic) ✅ Combines model merging and refined hard‑negative mining for better accuracy Leaderboard 🏆 https://huggingface
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