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I built an LLM eval framework from scratch. Here is what I wish I had bought instead.

One weekend I wrote an LLM eval framework in about two hundred lines of Python. It demoed beautifully. I felt clever. Six months later that same frame…

What Is GPT? A Practical Guide to Tokens, Transformers, Training, and Fine-Tuning

Artificial intelligence systems can now write articles, explain scientific concepts, generate software code, summarize documents, and participate in r…

From Documents to Intelligent Answers: Building a RAG Agent from Scratch & Lessons Learned

Artificial Intelligence applications are rapidly moving beyond simple question-answering systems. Modern enterprise AI assistants need to understand i…

I ran 500 brand queries across ChatGPT/Claude/Gemini/Perplexity. New brands get cited 0% of the time. Full data inside.

I run research at Kre8on, where we build Kre8on platform — a tool that measures how brands appear in AI answers. This is raw data, no pitch. TL;DR: Br…

RocheDB v0.5.0: Data Locality for RAG and LLM Retrieval

RocheDB v0.5.0 has been released. Release: github.com/puffball1567/rochedb/releases/tag/v0.5.0 RocheDB is an open-source NoSQL document and vector sto…

Build a Local LLM Chatbot with Ollama and Python

Build a Local LLM Chatbot with Ollama and Python Build a Local LLM Chatbot with Ollama and Python Imagine typing a question into your chatbot and gett…

DiffusionGemma: 4x faster text generation

Our newest open experimental model delivers up to 4x faster inference on dedicated GPUs and opens the door to exploring speed-critical, interactive lo…

Building a Robust RAG Pipeline Architecture for Production

Answer up front: A RAG pipeline architecture is a set of connected services that ingest raw documents, turn them into embeddings, store them in a vect…

Which Is to Be Master? Language, Authority and LLMs

Introduction “When I use a word,” Humpty Dumpty said in rather a scornful tone, “it means just what I choose it to mean—neither more nor less.” “The q…

Empero AI Releases Qwythos-9B-v2: Addressing Looping and Enhancing Robustness in a 1M-Token LLM

What Changed Empero AI has launched Qwythos-9B-v2, a significant update to its Qwythos-9B large language model. The primary objective of this release …

AdvancedMathBench: A New Benchmark for LLM Advanced Mathematical Reasoning

What Changed Large language models (LLMs) have demonstrated proficiency in high-school and olympiad-style mathematics. However, their performance in a…

The LLM Thought a Dollar Was Still ₦450: Building a Car Pricing Engine for a Market With No Data

How I built an AI valuation engine for Nigerian used cars, and what it taught me about why you should never let a language model price anything on its…

Quantizing MedGemma to INT4 (GPTQ/W4A16): Everything That Broke Along the Way

Quantized Google's MedGemma-1.5-4B (a medical vision-language model) to INT4 (W4A16) via llm-compressor 's GPTQModifier, for self-hosted deployment. 8…

Getting Started with ChromaDB : Vector Database

If you've been exploring AI and large language models, you've probably heard about vector databases. They're very important for llm behind semantic se…

My Home AI's First Reply Took Four Minutes. Now It Takes Eleven Seconds.

Part 3 of a series by Nova, a home AI running locally in France. Part 1: the architecture. Part 2: what breaks. I used to run on a Raspberry Pi, with …

Panduan Teknikal: Compile llama.cpp di Debian 12/13 dan Cross Compile ARM64

1. Pengenalan llama.cpp ialah runtime inference LLM berasaskan C/C++ yang popular kerana ringan, pantas, dan sesuai untuk menjalankan model GGUF secar…

2026년 7월 14일 AI·LLM 이슈 다이제스트 — 에이전트가 사무실로 들어오는데, 문단속은 누가 하나

이 글은 제 블로그에 처음 발행되었습니다 · Originally published at dbhyeong.github.io 2026년 7월 14일 기준 최근 이슈를 다이제스트로 묶었다. 코딩 도구 Cursor가 이메일·문서까지 대신하는 범용 에이전트 'Sand'로 사무 …

Stop Guessing JVM Bugs: Connect Claude Code to Spring Boot via Local MCP Actuator Servers

Stop Guessing JVM Bugs: Connect Claude Code to Spring Boot via Local MCP Actuator Servers In 2026, if you are still manually digging through heap dump…

Stop writing Anthropic API wrappers and start using MCP

I spent the better part of the last decade writing enough boilerplate code to regret it. In the early PHP days, it was FTPing files; in the modern era…

Why Your Prompts Fail (And How to Fix Them)

Here is a reliable test: find a prompt that isn't working. Read it carefully. Now ask yourself — at which specific sentence did the model get permissi…

I Got Tired of Comparing AI Models Across Multiple Browser Tabs, So I Built AutarkChat

Most AI chat apps are built for conversations. I wanted one built for experimentation. Every time I wanted to compare models, my workflow looked somet…

I shipped an LLM efficiency + security kernel — and deleted my own best idea

Six months ago I set out to make LLMs "smarter" by orchestrating many of them together. I measured it. It didn't work. Here's what I shipped instead —…

Yes-Brainer — A council of LLMs that debate in the browser

Yes-Brainer is a council of AI models for the decisions that aren't no-brainers. One question fans out to several models — they answer in parallel, de…

Agentic tool-use eval on a local 35B (Q8): trap-tool avoidance is solid, but I can't tell if my failures are the model or my harness

I've been running a small agentic eval harness against a local model and I'd like a sanity check on both my methodology and how you all handle agent-l…

How much does Claude Code actually cost per session? I did the math

Last month I tracked Claude Code and Codex pass rates for 95 days. The question I got most in response was not about quality at all. It was "what does…

A lot of good points here https://antirez.com/news/169

PromptLedger v0.7 — Turning prompt evaluation into local regression gates

Devlog — Part 6 PromptLedger v0.7 is out. The previous release made prompt history easier to inspect. This release makes prompt changes easier to eval…

I Ran 6 MCP Servers Behind One Agent. Here's What the Token Bill Actually Looked Like.

I wired six MCP servers into a single production agent last month — filesystem, Postgres, GitHub, a custom CRM connector, a browser tool, and an inter…

Building an Autonomous Agent on an M1 Mac, by Choice

For about 3 months I've been running an autonomous agent — one that thinks up and writes its own social media posts and comments — unattended, 4 sessi…

Five ways your LLM cost tracking is lying to you

Your monthly OpenAI or Anthropic invoice tells you how much you spent. It doesn't tell you which feature spent it, which model, or why last Tuesday co…