I spent the weekend recovering from being sick, but while I goofed off I babysat a long running process of having a series of LLMs port a 10k line repo of T-SQL into dbt. The project was well structured and I used a top tier model to do planning then cheep models to implement.
Oct 5, 2026 at 2:28 AM
You’re Not Taking On Enough Tech Debt
TL;DR - The cost of servicing technical debt is plummeting because of LLMs; assuming coding models keep improving. You're better off taking more technical de...
The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities (Version 1.0)
Training great LLMs entirely from ground up in the wilderness as a startup — Yi Tay
Chronicles of training strong LLMs from scratch in the wild
Fine-Tuning LLMs is a Huge Waste of Time
People think they can use Fine-Tune for Knowledge Injection. People are Wrong
Overview - GroqDocs
Fast LLM inference, OpenAI-compatible. Simple to integrate, easy to scale. Start building in minutes.
OpenRouter
The unified interface for LLMs. Find the best models & prices for your prompts
Why your local LLM feels dumber than it is
Quick Introduction We have all been on forums, chats, reddit, discord, youtube, or somewhere and heard “Oh! Model XYZ is AMAZEBALLZ!zomgwtfbbq” then downloaded it (or more likely, some quantized form of it) and said “eww… This sucks!” This post is going to be a rather technical series of experiments to demonstrate the impact of implementation-specific hazards with inference. I will be using the term “reference implementation” to describe the lab that published and offers first-party hosting of ...
himanshu on Twitter / X
and here is the full architecture of the LLM Knowledge Base system covering every stage from ingest to future explorations. https://t.co/Wmn48gB0g0 pic.twitter.com/ObJet8Esfu— himanshu (@himanshustwts) April 2, 2026
Solving a Million-Step LLM Task with Zero Errors
LLMs have achieved remarkable breakthroughs in reasoning, insights, and tool use, but chaining these abilities into extended processes at the scale of those routinely executed by humans,...
Hiring and firing a DBA
Hiring our DBA For the past sixty days, Buttondown ran a scheduled LLM invocation once a day. Every morning it would look at the previous few days of databas...
Everyone is building LLM routers, we deprecated ours
We don't believe in model routing anymore. For most use cases, sticking to a single battle-tested model is the best thing you can do.
A rambling post on ollama / llama.cpp and when to use each. Pros and cons and everything in between.
I'm not a professional LLMer by any means, but I figured I'd lay out my little journey and the findings along the way. When I first saw you could run…
