Architectures
The structural blueprints behind the models – transformers, mixture-of-experts, state-space models, diffusion, JEPA – and how each design choice shapes what a system can learn
AI 101
+2
14 min read
Jun 18, 2026
What Is JEPA? LeCun Architecture & World Models
JEPA is Yann LeCun's framework for world modeling: predicts abstract representations, not pixels. Covers I-JEPA, V-JEPA, VL-JEPA, LeJEPA, and physical AI.
AI 101
+2
11 min read
May 31, 2026
LeJEPA: Provable Self-Supervised Learning Without Heuristic
LeJEPA by Yann LeCun: provably stable self-supervised learning without heuristics. SIGReg, isotropic Gaussian embeddings & world models explained.
AI 101
+1
8 min read
May 11, 2026
xLSTM Explained: Extended LSTM vs Transformers
xLSTM extends classic LSTM with exponential gating and matrix memory. Learn how it compares to Transformers, what sLSTM and mLSTM are, and when to use it.
AI 101
+1
10 min read
Jan 8, 2026
DeepSeek mHC: Breaking the Architectural Limits of Deep Learning
DeepSeek's mHC fixes 3000× signal amplification in 27B models by constraining residual streams to the Birkhoff Polytope — with only 6.7% training overhead.
AI 101
+1
13 min read
Dec 3, 2025
Fusing Modalities: Basics + the New MoS Approach
Multimodal fusion is how AI combines text, images, and audio into one model. Covers early, late, intermediate fusion types and Meta's MoS approach.
AI 101
+3
12 min read
May 28, 2025
Decoding BERT: From Original NLP Game-Changer to Today's Efficient AI (feat. ConstBERT)
What is BERT in NLP? Learn how BERT works—MLM, NSP, fine-tuning—plus modern variants like RoBERTa, DistilBERT, ModernBERT, and ConstBERT in 2026.
AI 101
+2
11 min read
Apr 30, 2025
Can Liquid Models Beat Transformers? Meet Hyena Edge – the Newest Member of the LFM Family
What are Liquid Foundation Models? LFM-1B to 40B benchmarks, Hyena Edge architecture, memory efficiency vs Transformers.
AI 101
+1
6 min read
Feb 19, 2025
What Is Mixture-of-Mamba and How Does It Work?
Mixture-of-Mamba (MoM) brings modality-aware sparsity to Mamba SSM, cutting FLOPs by up to 75% while improving accuracy across text, image, and speech tasks.
AI 101
+3
4 min read
Jul 10, 2024
What is LongRAG framework?
LongRAG uses 4K-token retrieval units instead of 100-word chunks, reducing corpus size 30×. How LongRAG architecture works and how it compares to standard RAG.
AI 101
+1
8 min read
Jul 3, 2024
What is KAN?
KAN (Kolmogorov-Arnold Networks) replaces fixed activation functions with learnable splines. How KAN works, how it compares to MLP, and where it falls short.
