Attention Is All You Need
2017 paper introducing the transformer architecture
Episodes
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#6070: The Papers That Moved AI: From AlexNet to This Year's FightsThe classics all said 'learn it from data and scale it up'. This year's most-discussed AI papers are auditing what scaling took for granted. -
#5438: Why Linguists Left the AI RoomLarge language models grew out of linguistics — so why aren't linguists in the room where they're built? -
#4667: How Transformers Killed the Robot VoiceFrom espeak's robotic squawk to neural voices with added "ums" — how transformers made speech synthesis human. -
#2622: How Transformers Actually Work: Attention, Tokens, and ContextHow one architectural change unlocked chatbots, image generation, and protein folding — explained without the jargon. -
#2366: Why LLMs Forget the Middle of Long ConversationsWhy do large language models struggle with the middle of long conversations? Explore the science behind attention dilution and practical fixes. -
#2076: Is Pure NLP Dead? The Hidden Scaffolding of AIModern AI didn't appear from nowhere. Discover how decades of linguistic rules and statistical models built the foundation for today's LLMs. -
#2066: The Transformer Trinity: Why Three Architectures Rule AIWhy did decoder-only models like GPT dominate AI, while encoders and encoder-decoders still hold critical niches? -
#2062: How Transformers Learn Word Order: From Sine Waves to RoPETransformers can’t see word order by default. Here’s how positional encoding fixes that—from sine waves to RoPE and massive context windows. -
#1601: Cohere: The Switzerland of Enterprise AIWhile others chase viral memes, Cohere is quietly building the secure, cloud-agnostic infrastructure powering the global enterprise. -
#1547: Why AI Stopped Reading and Started Seeing EverythingFrom sequential bottlenecks to parallel powerhouses, discover how the Transformer architecture revolutionized how machines process the world. -
#1282: The Geometry of Thought: The Mathematics Powering AIPeeking under the hood of AI to discover the beautiful linear algebra and calculus that make machine reasoning possible. -
#1110: The arXiv Effect: Inside the Engine of AI ResearchExplore how a 1990s-style website became the central nervous system for AI breakthroughs and the power of the preprint revolution. -
#267: Decoding the Transformer: From Attention to InferenceHerman and Corn dive into the mechanics of transformer inference, exploring how models turn massive matrices into meaningful conversation. -
#261: The 70-Year Overnight Success: How AI Finally ArrivedThink AI was an overnight success? Join Herman and Corn as they trace the 70-year journey from rigid logic rules to modern deep learning. -
#126: The Cocktail Party Problem: Why AI ForgetsWhy do AI models "lose the plot" after a few thousand words? Discover the mechanics of attention and the innovations solving context window limits. -
#13: AI: Not an Overnight Success StoryAI's "overnight success" is a myth. Unravel the true story behind its rise, from humble beginnings to today's innovations. -
#12: The AI Breakthrough: Transformers & The Perfect StormAI's everywhere. How did chatbots, art, and video all emerge so suddenly? The secret lies in Transformers and a perfect storm. -
#10: How ASR Went From Frustration To ... Whisper MagicSpeech to text: from frustrating to fantastic. Uncover the magic behind its rapid rise and connection to the AI boom!