Inside the LLM Black Box: The True Architecture of Latency and Cost
LLM inference is often treated as a black box. Engineers observe input and output, but the internal mechanics determine both latency and…Continue reading on Medium »
LLM inference is often treated as a black box. Engineers observe input and output, but the internal mechanics determine both latency and…Continue reading on Medium »
Today I came across something called llmfit, and I genuinely liked how practical the idea is.Continue reading on Medium »
A 2001 film and a 2026 research paper are circling the same problem. We should be paying attention.Continue reading on Medium »
Imagine you are a chef. You’ve just created the perfect recipe for a spicy Sri Lankan curry. Your friends love it! But now, you want to…Continue reading on Medium »
There is a specific kind of magic in seeing a high-fidelity static photograph begin to breathe. For me, this project wasn’t about a…Continue reading on Medium »
10 Ways Python Turns Everyday Tasks into One-Click Automation.Continue reading on Artificial Intelligence in Plain English »
Practical guide to coordinating multi-agent workflows that generate accurate SQL for complex, multi-table queriesContinue reading on Medium »
The Shift No One Fully Sees YetContinue reading on Medium »
Transformers have become the backbone of modern AI. They power the large language models we interact with daily and are even used in scientific problems like protein structure prediction.But there’s a subtle issue with them. Unlike older models such as…
Most people are still hand-crafting agent loops in LangGraph. Deep Agents is a higher-level answer to that — and it’s more opinionated than you’d expect.1.1 Deep agents in actionThere’s a pattern I’ve watched repeat itself across almost every team that…