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Qwen3-Next Explained: Hybrid MoE, Multi-Token Prediction & 10X Faster Inference(Hands-On Demos)| 366

Автор: Luxmi Shanker

Загружено: 2025-09-15

Просмотров: 156

Описание:

https://x.com/Alibaba_Qwen/status/196...
https://qwen.ai/blog?id=4074cca803931...
https://huggingface.co/Qwen/Qwen3-Nex...
https://chat.qwen.ai/
==================

Timestamp
00:00 - Introduction to Alibaba's Qwen3-Next
00:24 - Qwen3-Next: Key Architectural Features
00:34 - What are Context Length and Model Parameters?
01:44 - Breakdown of Qwen3-Next's Hybrid Architecture
02:05 - Faster Inference Explained
02:33 - How Mixture-of-Experts (MoE) Makes Qwen3-Next Super Efficient
05:04 - 10x Higher Throughput: What It Means
05:54 - Benchmark Performance vs Older Models
07:07 - Ultra-Sparse MoE: Activating Only 3.7% of Parameters
08:14 - Multi-Token Prediction (MTP) for Speed
09:30 - Pre-training Efficiency and Cost Analysis
12:35 - Availability on Hugging Face & Open Source License
13:14 - API Pricing Comparison with Gemini 2.5 Flash
14:00 - Use Case 1: Building a WebOS with Qwen3-Next
16:51 - Use Case 2: Creating an AI Career Mentor App for a Hackathon
18:41 - Use Case 3: Testing Reasoning & Multilingual Capabilities
22:42 - Final Thoughts & Conclusion
==============================

Alibaba just dropped Qwen3-Next, a revolutionary new AI model focused on ultimate training and inference efficiency. Is it the new king of open-source LLMs?

In this video, we do a deep dive into the brand-new architecture of Qwen3-Next. We'll break down complex concepts like its Hybrid Attention, highly sparse Mixture-of-Experts (MoE) structure, and Multi-Token Prediction (MTP) that make it incredibly fast and cost-effective.

We don't just talk theory! I'll walk you through practical, real-world use cases to test its capabilities, including:

Building a complete browser-based Operating System from a single prompt.
Creating a functional "AI Career Mentor" web application for a hackathon scenario.
Testing its reasoning and multilingual translation abilities.

Finally, we'll look at the benchmarks and pricing to see how it stacks up against giants like Google's Gemini 2.5 Flash. If you're interested in the latest advancements in AI, you won't want to miss this!

Don't forget to Like, Comment, and Subscribe for more deep dives into the latest AI technology!

Keywords:
Qwen3-Next review
Alibaba Qwen3-Next model
What is Qwen3-Next
Qwen3-Next tutorial
Qwen3-Next vs Gemini 2.5 Flash
Best open-source LLM 2025
Large Language Model architecture
Mixture of Experts (MoE) explained
Multi-Token Prediction AI
Faster AI inference model
AI model for coding
Qwen3-Next use cases
AI for web development
Test new AI model
Alibaba Cloud AI

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========================================
YouTube Channel:    / @luxmishanker  
Instagram:   / luxmi_shanker  

Qwen3-Next Explained: Hybrid MoE, Multi-Token Prediction & 10X Faster Inference(Hands-On Demos)| 366

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