Large Language Models

What is currently happening in the world of AI companions. Continue reading on ILLUMINATION »

The tools got shockingly good. The hard part just moved somewhere I didn’t expect. Continue reading on Medium »

How I went from not knowing what RAG was to deploying a production-ready AI app in one weekend Continue reading on Medium »

Promptfoo is an open-source CLI tool for testing, evaluating, and red-teaming LLM prompts, models, and applications. Pairing it with CometAPI —a unified OpenAI-

Before jumping into AI agent frameworks, understand the Python, API, data, LLM, tool-calling, and debugging skills that make AI agents… Continue reading on Medi

Millions of people use ChatGPT, Claude, Grok, Gemini, and other AI tools every day. Students use them for assignments. Developers use them to write code. But he

I’ll never forget the moment I realized my first AI side project was dead on arrival. I’d spent three weekends building a chatbot that used a locally hosted LLa

How AI Is Reshaping Human Reasoning, Creativity, and Ownership of Thought Continue reading on Medium »

Same data, ~35% fewer tokens. Purpose-built for RAG pipelines, AI agents, and structured prompt engineering. Hey Folks 👋 I'm Hermann Samimi, a data engineer wh

One of the biggest misconceptions about ChatGPT is that it is simply a tool for writing essays. That is like saying a smartphone is only… Continue reading on Me

Artificial Intelligence has become one of the most valuable tools in my daily workflow. Whether I am writing articles, researching ideas… Continue reading on Me

This is how LLMs are used today to increase precision in recommendation systems The post Increase Recommendation Systems’ Precision with LLMs, Using Python appe

When LLM fine-tuning beats prompting and RAG and when to skip it Continue reading on Data Science Collective »

The Rust-powered vector index that skips the “study your data first” phase Continue reading on Medium »

The Rust-powered vector index that skips the “study your data first” phase Continue reading on Medium »

Here is how to build deterministic guardrails, run small language models locally, and bring architectural sanity back to your software… Continue reading on Arti

Most teams don't struggle with getting a language model to generate text. They struggle when that same model needs to work reliably inside a production system.

Most AI writing fails because it sounds too polished, too flat, and too perfect. These prompts help bring back rhythm, emotion, and a real… Continue reading on

Software testing is evolving faster than ever. With the rise of Artificial Intelligence (AI) and Large Language Models (LLMs), many… Continue reading on Medium

Author(s): Chew Loong Nian – AI ENGINEER Originally published on Towards AI. I Gave Qwen3.7-Plus a Screenshot and It Found the Exact Pixel to Click for $0.40 I

Author(s): Chew Loong Nian – AI ENGINEER Originally published on Towards AI. Why this matters right now A Chinese lab just shipped a terminal coding agent that

Author(s): Chew Loong Nian – AI ENGINEER Originally published on Towards AI. Google Shrank Gemma 4 by 72% and Unsloth Fixed the 4-Bit Bug Nobody Else Caught on

Author(s): Atul Kumar Originally published on Towards AI. LangChain Explained: Understanding Models, Prompts, Chains, Memory, Indexes, and Agents Large Language

Author(s): Sourav Ghosh Originally published on Towards AI. Is JSON Finally Getting a Token-Efficient Alternative for LLMs? For years, JSON has been the default

Forget reading long documents. Let two AI hosts discuss your files while you sit back and listen Continue reading on Medium »

Prompt engineering is the process of designing and structuring prompts to get better results from an LLM. In a RAG application, a prompt template typically cont

I was staring at my monthly OpenAI bill, and it felt like a punch to the gut. $218.47. For a side project. A side project that barely had users. My first though

I use both every day. Here’s what I actually found — no sponsored opinion, no hype. Continue reading on Medium »

AI Story of the week :RTX Spark: What a 120B Local Model, 128GB Unified Memory, and 1 Petaflop Actually Mean for How You Build AI? Continue reading on Predict »

Originally published at https://seointent.com/blog/mistral-for-answer-first-content-writing TL;DR - Mistral for answer-first content writing delivers direct ans

Ask ChatGPT what Apple’s stock price is right now. It’ll either tell you it doesn’t have real-time data or confidently give you a number that’s months old. That

The user wants me to rewrite an article about China AI Models vs US AI Models as a completely new piece by a devrel. Let me carefully follow all the rules: DO N

The Case of Multimodal Architecture and the Yemek AI Blueprint Continue reading on Medium »

As AI goes deeper, humanity turns inward. Continue reading on Medium »

The user wants me to rewrite an article about Chinese vs US AI models as a bootcamp grad's personal experience. Let me carefully follow all the rules: Don't cop

The more small tools I built with AI, the thing that changed most wasn't how fast I worked. The knowledge and instinct that normally take… Continue reading on M

The user wants me to rewrite an article about multimodal AI API comparison as a devrel piece. Let me carefully follow all the rules: Don't copy any sentences -

Small businesses do not usually need a futuristic phone agent. They need something more boring and more valuable: every call answered, every useful detail captu

LangChain's built-in cache is real and it works: python from langchain.globals import set_llm_cache from langchain.cache import InMemoryCache set_llm_cache(InMe

I Fuzzed 12 LLMs With 19 Payloads — Here's What Broke Everyone's shipping AI agents. Nobody's testing them. I ran EXORR's prompt fuzzer — 19 payloads across 5 a

Every agent session building software that calls an LLM starts by re-laying the same plumbing before any real work can begin: config… Continue reading on Genera

A deep dive into HGVM: the memory architecture that makes AI agents remember like humans, forget like humans, and learn like humans. There is a moment every fre

This article was originally published on runaihome.com qwen2.5vl:32b Fails to Load CLIP Model After Previously Working This error occurs when Ollama's cached mo

Production trust for community Claude extensions requires governance, not just curiosity. Teams treating Skills and hooks like prompt snippets are already think

Why millions of people are opening up to AI chatbots in ways they never could with another human and what it quietly reveals about the… Continue reading on ILLU

For years, the foundational mechanic of Large Language Models (LLMs) has been remarkably simple, yet computationally expensive: Next-Token… Continue reading on

It works well as a source for tutorials, which is helpful because with a lot of new stuff and things changing- I am clueless with some… Continue reading on Medi

TLDR; LLM-as-a-Judge is one of the most important architectural patterns in modern Generative AI systems. Whether you’re building RAG… Continue reading on Mediu