📰 Dev.to · VelocityAI

The Model-as-a-Service Business: Why Companies Are Selling Fine-Tuned Models for Narrow Use Cases

The Personal Model: When Everyone Has an AI That Knows Their Life Story

RAG vs. Fine-Tuning: Which Is Better for Adding New Information?

The Dangers of Fine-Tuning: When Customizing a Model Breaks Its General Knowledge

LoRA and the Art of Model Surgery: How We Add New Knowledge Without Retraining

Replicate, RunPod, and the Commoditization of Inference

Hugging Face and the GitHub-ification of AI

The Open-Source vs. Proprietary War: Why Meta and Mistral Are Giving Away Models—and What They Gain

In-Context Learning vs. True Generalization: What's Actually Happening When You Give Examples in a Prompt?

The Empathy Illusion: Why Models Seem Caring but Are Actually Just Next-Token Predictors

Audio, Video, 3D: The Next Frontier of Multi-Modal Models

MoE (Mixture of Experts) and the Illusion of Giant Models

The Scaling Law That Broke: Why Bigger Models Are No Longer Better

Transformers Are Not the End: What Comes After the Attention Mechanism?

The Forgotten Languages: Why Your Model Speaks English, Chinese, and Spanish—But Not Tamil or Swahili

The Data That Built the Brain: What Actually Went Into Training GPT-4 (and What Was Left Out)

The Temperature Paradox: Why Slightly Chaotic Models Often Outperform Perfectly Deterministic Ones

The Hallucination as Symptom: What Model Errors Reveal About How Knowledge Is Stored

The Map Is Not the Territory: Why We Still Don't Know What LLMs Actually Understand

The Pet Prompt: Can You Communicate With Your Animal Through AI Interpretation?

The Rosetta Prompt: Using Multilingual Prompts to Map Alignment Across Language Versions of the Same Model

The Lost Prompts of Early Chatbots: Eliza, Alice, and the Pre-LLM Era

Prompt Time Capsules: What 2023-2024 Prompts Will Look Like to Future Historians

The First Prompt: Who Was the First Non-Engineer to Interact With a Large Language Model, and What Did They Ask?