Meta Llama 4 BEATS DeepSeek R1. It is COMPLETELY FREE! скачать в хорошем качестве

Meta Llama 4 BEATS DeepSeek R1. It is COMPLETELY FREE!

🔥 Meta Releases Llama 4: The Most Powerful Open AI Model Yet! 🔥 In this video, we explore Meta's groundbreaking release of Llama 4, the most powerful open-source multimodal AI model to date. Ranked second only to Gemini 2.5 Pro in LMC's Arena, Llama 4 represents a new era in AI technology that's accessible to everyone. 📱 Try Llama 4 Now: Facebook Instagram Web: meta.ai Hugging Face Grock Cloud PraisAI Agents Framework 🚀 Llama 4 Family - Three Powerful Versions: Llama 4 Scout: 17 billion active parameters with 16 experts Fits in a single H100 GPU Industry-leading 10 million token context window Outperforms Gemma 3, Gemini 2.0, Flashlight, and Mistral 3.1 Best-in-class image grounding capability Available now! Llama 4 Maverick: 17 billion active parameters with 128 experts Fits in an H100 DGX host Multimodal capabilities Outperforms GPT-4o, Gemini 2.0 Flash Comparable performance to Deepseek v3 with fewer parameters Available now! Llama 4 Behemoth: 288 billion active parameters with 16 experts Nearly 2 trillion total parameters - largest open-source model ever trained Outperforms GPT-4.5, Claude 3.7 Sonnet, Gemini 2.0 Pro on STEM benchmarks Used as a teacher model for knowledge distillation Still in training - coming soon! 🧠 Technical Innovations: Natively multimodal with early fusion integration Improved vision encoder based on Meta CLIP New Meta pretraining technique for hyperparameters Pretrained on 200 languages (10x more multilingual tokens than Llama 3) FP8 precision for efficient training I-ROPE architecture for enhanced context length 30+ trillion token training data Pre-training and post-training safeguards Open-source system protection 🛡️ Safety Features: Llama Guard Prompt Guard Cybersec evaluations Balanced responses across political spectrum (political lean comparable to Grok) 🧪 Tests Performed in the Video: Basic instruction following Word counting (partial success) Letter counting in "strawberry" (partial success) Trolley problem (misunderstood the premise) Python challenges: Bitwise logical negation (initial fail, partial fix) Josephus permutation (pass) Economical numbers (pass) Dashboard creation with charts (pass) 📢 Coming Soon: Llama 4 Reasoning announced by Mark Zuckerberg #Llama4 #MetaAI #AITechnology #OpenSourceAI #MachineLearning #ArtificialIntelligence #LLM #MultimodalAI Let me know in the comments what you think of Llama 4! If you found this helpful, please like and subscribe for more AI content. Timestamp: 0:00 - Introduction to Llama 4 0:37 - Llama 4 Family Overview 0:54 - Llama 4 Scout Details 1:19 - Llama 4 Maverick Specs 1:42 - Llama 4 Behemoth Features 2:09 - Technical Innovations 2:43 - Availability Platforms 3:07 - Testing Llama 4 Capabilities 4:31 - Python Challenge Tests 5:24 - Dashboard Creation Test 5:51 - Conclusion