Don't MISS OUT on DeepSeek ENGRAM's Game-Changing Model Update! скачать в хорошем качестве

Don't MISS OUT on DeepSeek ENGRAM's Game-Changing Model Update!

DeepSeek just released ENGRAM, a conditional memory module that could fundamentally change how we build large language models. Instead of wasting computation rebuilding common patterns from scratch, ENGRAM gives AI instant recall memory - and the results are stunning. In this video, I break down exactly how ENGRAM works, why it improves not just knowledge tasks but also reasoning and coding, and what this means for the future of AI architecture. ENGRAM Paper & Code: https://github.com/deepseek-ai/Engram Sponsorships & Paid Promotions: For business inquiries, sponsorships, and paid collaborations, please contact: Email: aiperspectivesofficial@gmail.com TIMESTAMPS: 0:00 - The Hidden Inefficiency in Every AI 0:14 - How AI Rebuilds Knowledge From Scratch 1:03 - The Genius Friend Analogy 1:28 - ENGRAM Solution Introduced 1:59 - Times Tables vs Calculation 2:09 - Multi-Head Hashing Explained 2:36 - The Apple Problem (Collision Handling) 2:49 - Context-Aware Gating Mechanism 3:12 - Memory vs Reasoning Trade-Off 3:23 - The U-Shaped Curve Discovery 3:43 - ENGRAM 27B Architecture Details 4:02 - Benchmark Results That Shocked Researchers 4:17 - Why Memory Improves Reasoning (Paradox) 4:59 - Layer 5 Behaves Like Layer 12 5:17 - Long Context Performance Gains 5:30 - Needle in Haystack: 84% → 97% 5:46 - System Efficiency & Prefetching 6:23 - Memory Gate Visualization 6:42 - Open Source Release Details 6:52 - DeepSeek V4 Speculation 7:02 - The Future of AI Architecture 7:55 - Outro KEY FINDINGS: • 20-25% of parameters should be memory, 75-80% reasoning • MMLU: 57.4 → 60.4 | Arc Challenge: 70.1 → 73.8 • Needle in Haystack accuracy: 84.2% → 97% • Only 2.8% overhead with 100B parameter memory offload • Layer 5 in ENGRAM = Layer 12 in standard models #DeepSeek #ENGRAM #AINews #LLM #MachineLearning #ArtificialIntelligence #deepseekengram #TechNews #DeepLearning #NeuralNetworks #OpenSourceAI #AIBreakthrough