Large Language Models

by the Architect · Apache-2.0 If you build agents, you have already met the memory problem. The...

Your LLM never reads your words — it reads tokens. And almost every surprise on your AI bill traces...

Meta: Learn how to mitigate LLM hallucinations and algorithmic bias in job matching systems to ensure...

The AI industry has spent a decade treating forgetting as failure. But the brain isn't a storage system — it's a compression system.

A while back I was building a support assistant and hit a simple-sounding question: is this new...

Most of our tooling was built for one kind of error. The expensive one is the other. A cheap, fast...

Ultimate AI Prompt Guide: AI Performance Review & Feedback Kit — 45+ Prompts for HR...

Most AI agent projects start with a simple idea: Connect an LLM to a few tools and let it complete...

Introduction and motivations Hello my name is Brandon, thought I'm known through most of...

TL;DR: We run a 1,200-case eval suite for enterprise agent automation at Nexus Labs. Comparing models...

Spent the week breathing new life into DevNotion—59 commits and over 10,000 lines of code later,...

No current model reliably refuses adversarial input dressed up as instructions, so stop trying to prevent prompt injection and start designing for the state you

A project manager on the real work that begins after the AI demo impresses everyone: scoping past the 'magic' expectation, treating LLM accuracy as a measurable

Everyone I know learning agentic AI right now is learning to use frameworks. They call .invoke(),...

As a developer, my desk is constantly cluttered with documentation, API references, and whitepapers....

Throughout my two decades managing IT infrastructure and building solutions across Web3, blockchain,...

What data privacy taught me about online evals, and why I stopped treating LLM prompts like magic and...

It was 1 a.m. when a colleague messaged me: our smart customer service bot had amnesia again — “The...

ERNIE 4.5 vs DeepSeek V4: The Freelancer's Honest Breakdown I'll be honest with you — picking an LLM...

A practical guide to LLM cost observability: structured logging, Langfuse dashboards, OpenTelemetry metrics, per-tenant budgets, and the unit economics finance

Every business exploring AI eventually hits the same fork: should we fine-tune a model on our data,...

If you followed my earlier posts about Gemini Vault — this is the same project, grown up and renamed....

What I learned processing a million job listings with LLMs — architecture, cost control, and when AI beats traditional ML.

From Text to Vectors: The Complete Story The Story Starts: Why Can't We Just...

If you're building with LLMs, API costs can quietly kill your margin. The official pricing pages look...

I used to write blog posts the old way. Open a blank page. Stare at it. Write something. Rewrite it...

Not everything belongs in an AI chat. A simple rule, three buckets, and the anonymizing trick that lets a small business use real data without giving it away.

The easiest way to misunderstand LangGraph is to see it as “LangChain, but with more steps.” That...

Your RAG retriever pulls 50 candidate docs in milliseconds — but the best one is often sitting at...

As AI applications evolve from simple chatbots into autonomous agents, a new infrastructure layer is...

Frontier LLM inference is expensive. I wanted to see how far a 4B local model could go before needing...

Wondering how Claude AI works? Simply put, Claude is a large language model built by Anthropic that...

LLMs achieve high scores on Python coding tasks, yet their proficiency drops for the eleven other...

The O(n²) combinatorics problem with AI directory compare pages, how I budget-capped Claude Haiku calls, and dumped results to static JSON for Astro.

Your token costs are growing faster than your usage. You've already optimized model selection on...

The intelligence-vs-cost chart shows open models winning the value quadrant. True, but the x-axis is API price. The cheap open winners (GLM-5.2 ~744B) don't fit

A ~120-line zero-dependency local proxy that makes a flat-priced, auto-routing LLM API work as a drop-in OpenAI endpoint in Aider, Cline, Continue, or any OpenA

LiteLLM is migrating to Rust: 15x throughput, 11x less memory, sub-1ms overhead. Here are the benchmark numbers and the migration plan.

GLM-5.2 burns 2x the tokens of its predecessor. The real cost edge is provider pricing — and it's repriceable overnight.

A practical guide to choosing the right LLM for your use case, before a generic ranking talks you...

blogs.city blogifies and wiki-fies the dialogue you already have with large models — Hermes, OpenClaw, and any AI editor.

Attach a cryptographically signed receipt to every LLM call so you, your auditors, and your customers can verify what your AI produced, when, and from what inpu

Why Your AI Agent Needs a guy who wrote games on a ZX Spectrum A few weeks ago I was...

The beginner mistake with AI is not asking a bad first question. That part is normal. The real...

"It runs on my own GPU, so it's basically free." I believed that until I put a meter on it. So I ran...

Hi everyone, I've been hacking on a personal, local project called Hillock. Honestly, it's very much...

Introduction: Why this project matters? Training instruction following LLMs is no longer just about...

TensorSharp I would like to share my latest open source .net native local LLM inference engine and...