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LLMs Have a Memory Problem… TurboQuant Fixes It (Simple Explanation)
Understanding how Large Language Models (LLMs) handle memory is crucial if you're building AI systems like RAG pipelines or chatbots.
In this video, we break down TurboQuant, a new research from Google, and explain:
Why high-dimensional vectors are expensive
How LLMs store conversation using KV cache
The real memory bottleneck behind AI systems
How TurboQuant compresses vectors without losing accuracy
Why this is huge for RAG, vector databases, and AI scalability
We also discuss how tools like Qdrant are planning to integrate this approach.
💡 If you're working with:
AI Agents
Vector Databases
RAG Systems
LLM Optimization
This video will give you a strong conceptual edge.
Chapters:
0:00 – Introduction to LLM Memory Problem
0:45 – Understanding High-Dimensional Vectors
2:00 – Memory Calculation (Why It’s Expensive)
3:30 – How LLMs Store Conversations (KV Cache)
5:00 – The Real Bottleneck in AI Systems
6:15 – TurboQuant Explained (2-Step Process)
8:30 – Why This is Huge for AI & RAG Systems
10:00 – Future Impact & Closing Thoughts
🚀 Join My Free Community! 👇
🌐 Nas.io - [Learn Everything About Chatbots](https://nas.io/learn-everything-about-chatbots)
📚 Master Google Dialogflow & Build Smart Chatbots!
ES: [Enroll Now](https://www.udemy.com/course/master-google-dialogflow-build-smart-chatbots/)
CX: [Enroll Now](https://www.udemy.com/course/master-dialogflow-cx-build-engaging-chatbots-2025)
💬 Join Our Discord Group & Connect with Like-Minded People!
🔗 [Discord Community](https://discord.gg/dKruft7Kqs)
🔥 Get Exclusive Perks & Behind-the-Scenes Content!
🎥 [Join This Channel](https://www.youtube.com/channel/UCOT01XvBSj12xQsANtTeAcQ/join)
💡 Need a Custom Chatbot or AI/ML/DL Solution?
📩 Contact me for:
🤖 Chatbot Development | 🧠 AI/ML/DL Projects
🎯 Hire Me on Freelance Platforms!
💼 [Fiverr Profile](https://www.fiverr.com/rajkkapadia)
💼 [Upwork Profile](https://www.upwork.com/freelancers/~0176aeacfcff7f1fc2)
💼 [LinkedIn Profile](https://www.linkedin.com/in/rajkkapadia/)
📢 Share Your Thoughts!
💬 Drop a comment below & let me know what you think about this video!
📌 Don't Forget to:
👍 LIKE | 🔔 SUBSCRIBE | 💬 COMMENT
🎶 Enjoy Life, Feel the Music.
✌️ Peace.
Видео LLMs Have a Memory Problem… TurboQuant Fixes It (Simple Explanation) канала Raj Kapadia
In this video, we break down TurboQuant, a new research from Google, and explain:
Why high-dimensional vectors are expensive
How LLMs store conversation using KV cache
The real memory bottleneck behind AI systems
How TurboQuant compresses vectors without losing accuracy
Why this is huge for RAG, vector databases, and AI scalability
We also discuss how tools like Qdrant are planning to integrate this approach.
💡 If you're working with:
AI Agents
Vector Databases
RAG Systems
LLM Optimization
This video will give you a strong conceptual edge.
Chapters:
0:00 – Introduction to LLM Memory Problem
0:45 – Understanding High-Dimensional Vectors
2:00 – Memory Calculation (Why It’s Expensive)
3:30 – How LLMs Store Conversations (KV Cache)
5:00 – The Real Bottleneck in AI Systems
6:15 – TurboQuant Explained (2-Step Process)
8:30 – Why This is Huge for AI & RAG Systems
10:00 – Future Impact & Closing Thoughts
🚀 Join My Free Community! 👇
🌐 Nas.io - [Learn Everything About Chatbots](https://nas.io/learn-everything-about-chatbots)
📚 Master Google Dialogflow & Build Smart Chatbots!
ES: [Enroll Now](https://www.udemy.com/course/master-google-dialogflow-build-smart-chatbots/)
CX: [Enroll Now](https://www.udemy.com/course/master-dialogflow-cx-build-engaging-chatbots-2025)
💬 Join Our Discord Group & Connect with Like-Minded People!
🔗 [Discord Community](https://discord.gg/dKruft7Kqs)
🔥 Get Exclusive Perks & Behind-the-Scenes Content!
🎥 [Join This Channel](https://www.youtube.com/channel/UCOT01XvBSj12xQsANtTeAcQ/join)
💡 Need a Custom Chatbot or AI/ML/DL Solution?
📩 Contact me for:
🤖 Chatbot Development | 🧠 AI/ML/DL Projects
🎯 Hire Me on Freelance Platforms!
💼 [Fiverr Profile](https://www.fiverr.com/rajkkapadia)
💼 [Upwork Profile](https://www.upwork.com/freelancers/~0176aeacfcff7f1fc2)
💼 [LinkedIn Profile](https://www.linkedin.com/in/rajkkapadia/)
📢 Share Your Thoughts!
💬 Drop a comment below & let me know what you think about this video!
📌 Don't Forget to:
👍 LIKE | 🔔 SUBSCRIBE | 💬 COMMENT
🎶 Enjoy Life, Feel the Music.
✌️ Peace.
Видео LLMs Have a Memory Problem… TurboQuant Fixes It (Simple Explanation) канала Raj Kapadia
raj kapadia turboquant google ai research llm memory problem rag systems vector embeddings high dimensional vectors kv cache llm ai optimization vector database qdrant ai compression llm scaling ai infrastructure embeddings explained machine learning concepts generative ai ai agents rag tutorial llm performance ai architecture
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5 мая 2026 г. 18:45:22
00:07:50
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