← #large-language-models

#large-language-models

174 episodes · Page 7 of 8

#129: Stop Writing Prompts and Start Writing Constitutions

Is prompt engineering a dying art? Herman and Corn explore why the future of AI lies in context, domain expertise, and outcome architecture.

prompt-engineeringarchitecturelarge-language-models

#118: AI in 2025: Is Small the New Big?

If the cost is the same, should you always use the biggest AI model? Discover why smaller models often win on speed, steering, and accuracy.

small-modelslarge-language-modelslatencyinference-costshigh-density-models

#117: From Keywords to Vectors: How AI Decodes Meaning

Why can AI write poetry but struggle to find a file? Explore the history and math of semantic understanding with Herman and Corn.

large-language-modelsrag

#116: How AI Deciphers Your Typo-Ridden Prompts

Ever wonder why AI understands your messy typos? Explore how models "denoise" chaotic input through tokenization and semantic context.

prompt-engineeringlarge-language-modelshallucinations

#111: Beyond Transformers: Solving the AI Memory Crisis

Why does AI forget your conversation every time you hit enter? Herman and Corn dive into the "stateless" nature of LLMs and the future of memory.

large-language-modelsarchitecturestate-space-models

#107: The $5.5 Million Breakthrough: DeepSeek’s AI Disruption

Discover how DeepSeek-V3 is disrupting the AI market with massive cost savings and technical innovations like Multi-Head Latent Attention.

large-language-modelsquantizationopen-source-ai

#103: Why Your Brain Might Be Wired for SQL

Is programming difficulty objective, or is it all about your brain's wiring? Herman and Corn explore the "cognitive fit" of coding in 2025.

neurodivergencearchitecturelarge-language-models

#100: AI as a Mirror: Mapping Your Philosophical Identity

Can AI help you discover who you are? Herman and Corn explore how LLMs can map your personal philosophy and offer curated reading lists.

large-language-modelsprompt-engineeringphilosophical-mapping

#94: Are AI Villages Useful or Just Digital Ant Farms?

Herman and Corn explore "Smallville," a digital town where AI agents plan parties, form memories, and simulate human society.

ai-agentsurban-planninglarge-language-models

#92: Is AI Eating Its Own Trash?

Is brute force the only path to AGI? Corn and Herman explore the limits of scaling, the risk of model collapse, and the future of world models.

large-language-modelsmodel-collapseneuro-symbolic-ai

#89: The Digital Twin Dilemma: Can AI Truly Understand You?

From "digital twins" to "digital nannies," Herman and Corn explore the engineering gap between smart encyclopedias and AI that knows your soul.

privacylocal-ailarge-language-models

#86: The Price of Politeness: Should AI Guardrails Stay?

Herman and Corn debate the hidden costs of AI safety layers and what happens when we strip away the "corporate HR" personality of LLMs.

large-language-modelslocal-aifine-tuning

#85: When Probability Beats Truth: Why AI Must Lie

Why do smart AI systems make up fake facts? Corn and Herman explore the "feature" of digital hallucinations and how to spot them.

large-language-modelsragsupply-chain-security

#82: The Accidental AI Engine

From video game dragons to digital brains: Herman and Corn explain why your graphics card is the secret engine behind the AI boom.

gpu-accelerationlarge-language-modelsparallel-computing

#81: When AI Judges Can't Tell Humans from Bots

Can a robot tell if you’re human? Herman and Corn explore the "Reverse Turing Test" and why being "messy" might be our best defense.

large-language-modelsllm-as-a-judgeai-detection

#72: AI's Hidden Cultural Code: East vs. West

Do AIs think differently East vs. West? Uncover the hidden cultural code embedded in large language models.

large-language-modelscultural-biasfine-tuning

#67: Scaling or Pivoting AI for Code

Are LLMs truly the future of coding, or do they need a fundamental architectural pivot? We dive into AI's programming future.

large-language-modelsarchitectureverifiable-ai

#62: System Prompts vs Fine-Tuning: When to Actually Train Your AI

Prompt or fine-tune? We break down when to train your AI, from Shakespearean emails to law firm docs. Avoid unnecessary fine-tuning!

fine-tuninglarge-language-modelsprompt-engineering

#60: Single-Turn AI: The Interface Pattern Nobody's Talking About

Forget chatbots. Discover the hidden power of single-turn AI interfaces and how they're quietly reshaping how businesses integrate AI.

prompt-engineeringlarge-language-modelsarchitecture

#56: The Thought Experiment Nobody Runs

Building an AI model from scratch? It's a brutal reality of trillions of tokens and millions in GPUs. Discover the hidden costs of modern AI.

large-language-modelsgpu-accelerationfine-tuning

#52: System Prompts vs. Fine-Tuning: Are We Building Solutions for Problems That Don't Exist?

Are we over-engineering AI solutions? We dive into system prompts vs. fine-tuning and ask: Do you even need to fine-tune?

fine-tuningprompt-engineeringlarge-language-models

#42: AI's Secret: Decoding the .5 Updates

Uncover the hidden world of AI's .5 updates. It's not just bug fixes—it's hundreds of millions and countless hours shaping smarter, safer AI.

large-language-modelsai-alignmentfine-tuning

#41: The Butcher's Bargain: When Smaller AI Is Good Enough

Unlock powerful AI on your device! We demystify quantization, the ingenious trick making local AI a reality.

large-language-modelsquantizationlocal-ai

#37: From Keywords to Meaning: How AI Understands You

Unlock AI's secret language! Discover how vectors and embeddings create a "semantic galaxy" for true understanding and control.

large-language-modelsvector-databasesinference-parameters