Accidental Release of LLaMA 3.1: Meta's 405 Billion Parameter Model Exposed! | @SimplifyAI4you

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Meta's LLaMA 3.1 Leaked: What You Need to Know About the New AI Giant |

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In this video, we dive into the exciting leaks surrounding LLaMA 3.1, Meta's latest AI model boasting an incredible 405 billion parameters. After the launch of LLaMA 3, Meta acquired a significant number of GPUs from NVIDIA to train this next-gen model, promising a major leap in performance. Early benchmarks suggest LLaMA 3.1 surpasses GPT-4 in almost every aspect, with scores on GSM8K, HellaSwag, and math tests that are truly mind-blowing. Despite the Azure repository and Hugging Face uploads being taken down, the hype around this model continues to grow.
We explore the potential of LLaMA 3.1 not just as a base model but as a fine-tuned powerhouse capable of achieving unprecedented scores. With rumors of providers like Together AI and OpenPipe hosting the model soon, accessing this powerful tool will become easier without the need for extensive GPU provisioning. Additionally, we touch on the regulatory landscape and what Meta's release could mean for the future of open-source AI, particularly in comparison to proprietary models. Stay tuned as we keep you updated on this groundbreaking development!

Hashtags:
1. #LLaMA3
2. #MetaAI
3. #AIleak
4. #AImodel
5. #MachineLearning
6. #DeepLearning
7. #NLP
8. #ArtificialIntelligence
9. #TechNews
10. #GPT4
Tags:
1. LLaMA 3.1
2. Meta AI
3. AI model leak
4. AI news
5. Machine learning
6. Deep learning
7. NLP model
8. Artificial intelligence
9. Technology news
10. GPT-4 competitor
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00:02 The accidental release of LLaMA 3.1
00:48 LL3.1: 405 Billion Parameter Model Leaks
01:33 LLaMA 3.1 model leaked and taken down
02:21 LLaMA 3.1 outperforms GPT4 in benchmarks
03:11 LLaMA 3.1 outperforms previous models
03:58 Meta's 405 Billion Parameter Model has impressive benchmark scores
04:43 Meta's 405 Billion Parameter Model may have undergone benchmark hacking
05:26 Potential impact of Meta's 405 Billion Parameter Model

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Base model. Just imagine about Main model capabilities

sarankumar