Transformer Architecture
226 episodes · Page 6 of 10
#2076: Is Pure NLP Dead? The Hidden Scaffolding of AI
Modern AI didn't appear from nowhere. Discover how decades of linguistic rules and statistical models built the foundation for today's LLMs.
#2067: MoE vs. Dense: The VRAM Nightmare
MoE models promise giant brains on a budget, but why are engineers fleeing back to dense transformers? The answer is memory.
#2066: The Transformer Trinity: Why Three Architectures Rule AI
Why did decoder-only models like GPT dominate AI, while encoders and encoder-decoders still hold critical niches?
#2065: Why Run One AI When You Can Run Two?
Speculative decoding makes LLMs 2-3x faster with zero quality loss by using a small draft model to guess tokens that a large model verifies in para...
#2064: Why GPT-5 Is Stuck: The Data Wall Explained
The "bigger is better" era of AI is over. Here's why the industry hit a data wall and shifted to a new scaling law.
#2062: How Transformers Learn Word Order: From Sine Waves to RoPE
Transformers can’t see word order by default. Here’s how positional encoding fixes that—from sine waves to RoPE and massive context windows.
#2061: The Memory Bottleneck That Drives Attention Design
Attention is the engine of modern AI, but it’s also a memory hog. Here’s how MQA, GQA, and MLA evolved to fix it.
#2060: The Tokenizer's Hidden Tax on Non-English Text
Why does a simple greeting in Mandarin cost more to process than in English? It's the tokenizer's hidden inefficiency.
#2056: Music as Language: The Architecture Behind AI Song Generation
A look at how AI music models use audio tokens, transformers, and diffusion to turn text into songs.
#2040: The Rebellion Against Big Tech's AI Lock-In
Why run LLMs locally? We break down Ollama, llama.cpp, vLLM, and llamafile—and when to use each.
#2032: Jerusalem's Skyscrapers Are Just Holograms
A producer claims Jerusalem's new towers aren't built—just light projected onto scaffolding to fool investors.
#2016: Andrej Karpathy: The Bob Ross of Deep Learning
Why the most influential AI mind prefers a blank text file to proprietary black boxes.
#1979: When Marketing Swallows the Tech
Is AI the same as Machine Learning? We break down the nested hierarchy of artificial intelligence, from symbolic logic to neural networks.
#1964: The Three Layers That Make AR Finally Work
See a 3D arrow pointing to the exact bolt you need, or read a street sign in real-time translation.
#1962: Moravec's Paradox: Why Robots Can Write Poetry but Can't Fold a Fitted Sheet
We explore the tech letting robots "reason" about physical tasks using vision-language-action models.
#1856: Two AIs Chatting Forever: Why They Go Crazy
What happens when two ChatGPT instances talk forever? They hit a politeness loop, forget their purpose, and spiral into gibberish.
#1817: The Hidden Taxonomy of AI: Why Specialized Models Outperform Giants
Explore the vast ecosystem of niche AI models for computer vision and document understanding, far beyond large language models.
#1808: The Architecture That Made AI Voices Run on a Raspberry Pi
How a model the size of a tweet outperforms billion-dollar giants in the race for perfect AI speech.
#1799: The Original AI Blueprints: BERT & CLIP
Before GPT, two models changed everything. Discover how BERT and CLIP taught machines to read and see the world.
#1792: Google's Native Multimodal Embedding Kills the Fusion Layer
Google’s new embedding model maps text, images, audio, and video into a single vector space—cutting latency by 70%.
#1739: AI Just Designed a New Life Form
Meet Evo: the 40B parameter AI that writes DNA, designs novel CRISPR systems, and is reshaping synthetic biology.
#1724: When AI Dubbing Swaps Your Gender
How does YouTube translate a video with one click? We explore the tech behind auto-dubbing, from sandwich models to voice cloning.
#1705: Microsoft's Phi: The Small Model Bet for Agentic AI
Microsoft is pushing small language models like Phi for agentic AI. Here’s why that strategy matters for speed, cost, and edge computing.
#1680: Beyond China: AI in Russia, India, Japan
China dominates the AI conversation, but Russia, India, and Japan are building powerful regional models with unique architectures.
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