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DataFunTalk

Apr 24, 2025 · Artificial Intelligence

Is Retrieval‑Augmented Generation (RAG) Dead Yet?

This article explains the original purpose of Retrieval‑Augmented Generation, why it remains essential despite advances in large‑context LLMs, and how combining RAG with fine‑tuning, longer context windows, and model‑context protocols yields more scalable, accurate, and privacy‑preserving AI systems.

AIContext WindowRAG

0 likes · 9 min read

Is Retrieval‑Augmented Generation (RAG) Dead Yet?

DevOps

Apr 7, 2025 · Artificial Intelligence

Meta Llama 4 Scout, Maverick, and Behemoth: Architecture, NoPE Innovation, and Training Advances

The article introduces Meta's newly open‑sourced Llama 4 series—including Scout with a 1 billion‑token context window, Maverick with 400 billion parameters, and the upcoming Behemoth teacher model—detailing their expert‑mix architecture, the NoPE positional‑encoding removal, training pipelines, performance benchmarks, and infrastructure improvements for large‑scale AI research.

AI researchContext WindowLlama 4

0 likes · 8 min read

Meta Llama 4 Scout, Maverick, and Behemoth: Architecture, NoPE Innovation, and Training Advances

Is Retrieval‑Augmented Generation (RAG) Dead Yet?

Meta Llama 4 Scout, Maverick, and Behemoth: Architecture, NoPE Innovation, and Training Advances

Meta Llama 4 Scout, Maverick, and Behemoth: Architecture, NoPE Innovation, and Training Advances