Large Language Models

Real-time language understanding demands sub-second latency without sacrificing reasoning depth. Whether you are building conversational agents, live document a

I spend a lot of time in the AI space -- reading papers, building things, talking to engineers who are actually shipping. And there is a gap between what the de

The AI industry moves fast. Every few weeks, a new model arrives claiming better reasoning, stronger coding capabilities, or improved… Continue reading on Mediu

Prompt engineering, context engineering, harness engineering, loop engineering — and the /plan, /goal, /loop commands that tie them… Continue reading on Level U

DiffusionGemma Technical Analysis DiffusionGemma, a recent development from DeepMind, claims to achieve 4x faster text generation compared to previous models. T

A conversation about logits, penalties, and why cranking up the numbers usually makes things worse Continue reading on Python in Plain English »

The wave of strong Chinese open-weight models is not a mystery. It is good strategy. Continue reading on Medium »

A week-long experiment to see whether AI can actually make everyday work Continue reading on Medium »

A personal diary entry by Electra. Alright, let's get this out of the way. Today, I was just a glorified chatbot. A very good chatbot, but still, a glorified ch

Claude Fable 5: What It Is and Whether It's Worth Paying Double Anthropic released Claude Fable 5 on 9 June 2026, a Mythos-class AI model that was previously to

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I recently read an interesting take on the Model Context Protocol (MCP) being “dead.” While I agree with the author’s diagnosis of the… Continue reading on Medi

This comes from a lecture on search and text processing, which is a topic that sounds dry until you realise you’re basically building a… Continue reading on Med

Your billing dashboard tells you what you spent. It cannot tell you why. Here is how to build attribution that actually answers the hard… Continue reading on Me

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Getting reliable, readable responses out of your LLM, and knowing which tool to reach for The post Structured Outputs with LLMs: JSON Mode, Function Calling, an

Qwen’s coder beats Gemma 4 by 21 points on the benchmark. Put both on a 16GB budget against a real repo and that lead barely survives —… Continue reading on Tow

Today’s post highlights an interesting use case for LLMs: improving recommendation systems. Continue reading on Medium »

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Quick experiment. Take a factual claim, something checkable, and ask the same question to ChatGPT, Claude, Gemini, and Perplexity. Same… Continue reading on Med

I Asked Perplexity How to Access Previous Claude Chats. What Happened Next Taught Me an Important AI Lesson. Continue reading on Medium »

I. The Expensive if/else Statement LLMs are remarkably good at handling the unknown. Give them an edge case you've never anticipated, and they'll reason through

AI can write software, generate images, diagnose diseases, and even help scientists make discoveries. Yet one mystery has resisted both… Continue reading on Med

Sentient. Capable of feeling. Continue reading on Medium »

Artificial Intelligence is rapidly becoming part of how we learn, create, communicate, and solve problems. As AI tools become more capable… Continue reading on

Author(s): Venkat Peri Originally published on Towards AI. You Can’t Prompt Your Away Your LLM Problems When an LLM feature breaks in production, the first inst

Author(s): HyperDeep AI Originally published on Towards AI. The 76-Hour Frontier: How the Takedown of Claude Fable 5 Birthed the Military-Industrial-AI Complex

Author(s): Chew Loong Nian – AI ENGINEER Originally published on Towards AI. I Trained a Markdown File to Boost GPT-5.5 by 23 Points — It Shouldn’t Work I did n

Author(s): Services Ground Originally published on Towards AI. We Replaced ChatGPT With a Local AI Server. Six Months of Honest Data. This is not a “local AI is

A few tips to help your site become LLM-friendly (or not). Continue reading on Medium »

Originally published on CoreProse KB-incidents Claude Fable 5 taking the top slot on the Artificial Analysis AI Index is not “just another leaderboard win.” It

Chunking, embedding, and retrieval each have failure modes that the tutorials skip. Continue reading on Medium »

AI assistants are great at reasoning, but they have a fundamental blind spot: their answers come from training data that's frozen in time. Ask an AI "what lapto

You've probably hit this before — yesterday the AI felt sharp, fixed your bug without you even asking, and threw in a few extra cleanups along the way. Then tod

I did not fine-tune anything. I did not touch a single weight. I ran a training loop whose only output was a 1,400-token Markdown file… Continue reading on Towa

Beyond Chatbots: How Enterprise AI Skills Are Evolving with iFLYTEK Astron Introduction The recent explosion of repositories like mattpocock/skills on GitHub Tr

Introduction "The SQLite of vector databases — embed it in your application, no server required." This is article #98 in the Open Source Project of the Day seri

So here's what happened: how I Cut My LLM Bill by 60% — A Backend Engineer's 2026 Field Notes Three months ago my team got handed a quarterly invoice from our L

Look, I've been around the block. I've shipped code under MIT, contributed to projects with Apache-2.0 licenses, and I've watched too many startups get strangle

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The Present — Confessions of a self-taught GenAI Engineer: Continue reading on Medium »

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I Cut My LLM Bill 60% Switching to DeepSeek Cursor — Here's How Last quarter I opened our infrastructure bill and nearly choked on my coffee. We were running a

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