Large Language Models

Why a single LLM prompt wasn't enough - and how splitting curriculum generation into specialized agents cut production time while improving consistency across t

It is important to document requirements, capture key decisions, and record design goals. Best practices: Requirements doc stored in repo. Store plan files crea

Anthropic didn’t just ship a model update. They shipped a statement. When a company positions a “Sonnet” — historically their mid-range… Continue reading on Med

I am about to pull my hair out with this latest "update." Every single time I open a new chat window in version 5.5, the system automatically defaults back to "

OpenAI and Broadcom reveal a custom 3nm ASIC designed to halve inference costs and challenge the dominance of general-purpose GPUs. Continue reading on Medium »

Claude Fable is back! Anthropic has lifted restrictions on Claude Fable 5 and Mythos 5 after a...

A new paper argues that neural networks may not converge toward one global representation of reality. After proper statistical calibration… Continue reading on

Crossword puzzles are easy. But what if you had to solve one while running inside the hardware constraints of a Large Language Model?

My attempt at running Qwen3.5 122B on my 5090 (32GB VRAM) + 64GB RAM is really bleak. I'm getting a speed that starts at 6 tps and ends at ~20 tps. Can I improv

Learn how ChatGPT works, from LLMs and tokenization to embeddings, transformers, attention, and AI response generation in simple terms. Continue reading on Medi

Ever wonder how an AI can write a poem, debug code, and explain quantum physics in the same breath? It isn’t magic — it’s a high-speed… Continue reading on Medi

On a rainy Tuesday morning late last month, my daily briefing email failed to arrive. Continue reading on Medium »

Before diving into the AI working stuff. Let’s talk about Gen AI developers and ML engineers as these two job fields are growing… Continue reading on Medium »

Here are some of my examples "Where I'd push back..." "Let's slow down and look at this realistically" submitted by /u/Aggravating_Past7166 [link] <a href="http

Most people don't realize they're 30 minutes into arguing with an AI that stopped listening 20 minutes ago. The fix: throw the session away.

The model is just one component. The system is everything around it: context, tools, orchestration, evals, and cost controls. Continue reading on Medium »

The model is just one component. The system is everything around it: context, tools, orchestration, evals, and cost controls. Continue reading on Medium »

The model is just one component. The system is everything around it: context, tools, orchestration, evals, and cost controls. Continue reading on Medium »

The atlas of Italian dialects I’d been putting off for years, built almost entirely with AI: what it did, and what I did Continue reading on Medium »

The atlas of Italian dialects I’d been putting off for years, built almost entirely with AI: what it did, and what I did Continue reading on Medium »

How ChatGPT Understands Your Questions: From Human Language to Intelligent Responses Continue reading on Medium »

How ChatGPT Understands Your Questions: From Human Language to Intelligent Responses Continue reading on Medium »

Learn how to turn ChatGPT into a specialized assistant that understands your tasks, follows your rules, and works exactly the way you want. Continue reading on

Learn how to turn ChatGPT into a specialized assistant that understands your tasks, follows your rules, and works exactly the way you want. Continue reading on

Learn how to turn ChatGPT into a specialized assistant that understands your tasks, follows your rules, and works exactly the way you want. Continue reading on

I’ve been working on something that leans on a semantic layer plus two-step retrieval: first find the right concept, then read it, instead… Continue reading on

ChatGPT does not understand questions the way a human does. It doesn’t have beliefs, emotions, or consciousness. Instead, it uses… Continue reading on Medium »

Every token has a price. The fastest AI systems aren’t always powered by larger models. They’re powered by smarter token management. Continue reading on AegisOp

The technology behind ChatGPT, Gemini, Claude, Llama, and every modern Large Language Model. Continue reading on Medium »

The technology behind ChatGPT, Gemini, Claude, Llama, and every modern Large Language Model. Continue reading on Medium »

Prompt engineering isn’t dying — it’s evolving. Here’s what every AI user, creator, and business needs to know in 2026. Continue reading on Medium »

I have spent the better part of a year building RAG pipelines. Vector databases, embedding models, rerankers, chunking strategies… Continue reading on Medium »

So here's what happened: i Cut My AI Bill 97.5% in One Afternoon — And You Can Too Last month I...

As AI assistants become more deeply integrated with enterprise systems, one security concept deserves far more attention: Prompt Injection. Continue reading on

Have you ever wondered why ChatGPT can remember what you said a few messages ago — but sometimes forgets details from earlier in a long… Continue reading on Med

As artificial intelligence enters the era of full automation and advanced AI agents in 2026, the open-source community is experiencing unprecedented growth. Fro

ChatGPT Prompt Engineering for Freelancers: Unlocking the Power of AI As a freelancer, staying ahead of the curve is crucial for success. One of the most exciti

Anthropic's Claude Fable 5 returns with 50% usage limits and a new classifier that may result in false positives. The post Anthropic’s Claude Fable 5 Is Back Wi

I tested TCREI, Task, Context, References, Evaluate, Iterate, against real prompts in Claude. Here’s what changed. Continue reading on The Generator »

I Benchmarked DeepSeek, Qwen, Kimi & GLM for 30 Days — The Numbers I'll be honest — I didn't set...

Why Your LLM Isn’t Lying, It’s Just Showing You What You Most Fear (And What You Most Desire, Which Is Usually a Working JSON Schema) Continue reading on Techno

Category: AI Engineering • LLMs • Developer Tools • Agentic AI Building DevMentor:...

Some in this sub have tested GLM5.2 on 4x DGX Sparks (or Ascend GX10) with 400-500 tok/s prompt processing and ~15 tok/s output at 128k context. Not blazing fas

There are a thousand tutorials telling you to grab Oracle Cloud’s free 4-core, 24GB ARM instance. Continue reading on Medium »

There are a thousand tutorials telling you to grab Oracle Cloud’s free 4-core, 24GB ARM instance. Continue reading on Medium »

We all know the feeling. You've got a stack of invoices, contracts, or some other semi-structured...

Anthropic releases their new Sonnet 5 as the default model for all plans, including the free tier, plus introductory pricing on tokens. The post Anthropic’s Cla

Researchers from N2LP group at University of Sheffield introduce MultiHashFormer, a new framework for vocabulary efficient language… Continue reading on Medium