If you scroll through financial news today, you will likely see two completely contradictory narratives. The first warns that Artificial Intelligence is a massive, unsustainable …
In the previous article, we explored how language models read and generate text. We saw that words are broken into tokens, tokens become numbers, and …
Most technically literate people dont struggle with AI because its too hard. They struggle because the vocabulary feels like a private club handshake. Conversations move …
Ollama vs llama.cpp – Choosing Your Local LLM Engine Run ChatGPT-like models locally—without sending your data to the cloud. No API keys. No rate limits. …
llama.cpp on Windows: Your Complete Guide to Local Python Code Completion Stop paying for GitHub Copilot. Stop sending your code to the cloud. Run a …
Building a RAG System That Actually Works You’ve learned the theory. You understand embeddings, vector databases, and query processing. But here’s the brutal truth: 90% …
Query Processing – Making RAG Actually Understand You If you’ve been following along, you now know why LLMs hallucinate — they’re probabilistic prediction engines, not …
Vector Databases – The Memory Palace of AI If you’ve been following along, you now know why LLMs hallucinate — they’re probabilistic prediction engines, not …
RAG vs CAG: Two Philosophies for Grounding AI If you’ve been following along, you now know why LLMs hallucinate — they’re probabilistic prediction engines, not …
Why LLMs Hallucinate (And Why You Shouldn’t Be Surprised) If you have used ChatGPT or Claude for coding or research, you have likely experienced the …
