🚨 Meta Just Dropped Llama 4 — But Is It As Good As They Claim? 🚨
In this video, we break down Meta’s next-gen Llama 4 models — covering smarter training techniques, multimodal capabilities, and the controversial benchmarks that have the AI community buzzing.
🔍 What You’ll Learn:
What makes Llama 4’s training pipeline revolutionary
How Meta used online RL, SFT & DPO in a new way
Why the benchmarks may not reflect real-world performance
Deep dive into instruction following, long-context quality, and vision understanding
Llama 4 vs DeepSeek, Gemini 2.5, and OpenAI models
👀 Spoiler: Llama 4 has massive potential — but the rollout isn’t without issues.
📊 Benchmarks, Leaks & Controversy
We also explore claims of benchmark maxing, test data leakage, and instruction-following failures — and how Meta is responding.
🧠 Featuring snippets from IBM’s Martin Sheen on Mixture-of-Experts architecture
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📌 Chapters:
0:00 Llama 4 Overview
1:32 MoE vs Dense Model
3:15 Meta’s Smarter Training Pipeline
6:45 Benchmark Controversy
9:10 Long Context & Vision Capabilities
11:00 Final Thoughts
👇 Resources & Links:
📄 Official Llama 4 Release Blog
📹 Full Martin Sheen Talk on MoE (link in description)
🛠️ Try Llama 4 Models via Hugging Face & Ollama
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