AI Core

Inference & Training

Computational aspects, fine-tuning, RLHF

14 episodes

When AI Argues with Reality: Mastering Search Grounding

Is your AI gaslighting you about the current date? Learn how to force LLMs to trust live search results over their outdated training data.

llm-groundingtemporal-anchoringsearch-augmentation

The Geographic Soul of AI: Mapping the Global Data Divide

Why does an AI see a Chinese supermarket instead of a Western one? Explore how training data shapes the cultural worldview of modern models.

ai-cultural-biastraining-data-analysiscross-cultural-ai

AI That Evolves: Solving the Preference Problem

Why do AI recommendations feel stuck in the past? Discover the technical hurdles of real-time learning and the future of personalized agents.

test-time-trainingcontext-rotadaptive-ai

The Benchmark Battle: Decoding the Rise of Chinese AI

Are Chinese AI models actually beating the West, or just gaming the system? Herman and Corn dive into the reality of modern AI benchmarks.

large-language-modelsai-agentsbenchmarks

Beyond the Prompt: The Rise of Outcome Architecture

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

Decoding RLHF: Why Your AI is So Annoyingly Nice

Ever wonder why AI is so polite? Herman and Corn dive into the mechanics of RLHF and how "niceness" gets baked into modern language models.

rlhfai alignmentreward modelsupervised fine-tuninglanguage models

Beyond Math Puzzles: The Truth About AI Benchmarks

Are AI models getting smarter, or just better at memorizing tests? Herman and Corn dive into the controversial world of 2025 AI benchmarks.

ai benchmarksdata contaminationbenchmark gamingswe-benchlivebench

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

Building an AI Model from Scratch: The Hidden Costs

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

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

AI Inference Decoded: The How & Where of AI Magic

Ever wonder how AI magic happens? We demystify AI inference, exploring where and how models truly operate.

ai inferenceai deploymentmachine learningcloud computingon-premises

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

Your AI, Evolving: Beyond the Static Snapshot

Is your AI an "old suit" that no longer fits? We explore evolving AI that learns and adapts with you.

machine learningcontinual learningadaptive aifine-tuningpersonalized ai

How Does Fine Tuning Work Anyway?

Unlock the secrets of AI fine-tuning. Discover how your small dataset can shape a giant model.

fine-tuninglarge-language-modelsarchitecture