Ollama Structured Outputs in Practice — Getting Type-Safe JSON from Local LLMs with Pydantic
json.loads(response) fails at a certain point. You told the model "return JSON only," but it added a ```json markdown code fence around everything. A …
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How much VRAM do you actually need to run Llama 3 or Gemma locally?
Every few days someone in a local LLM thread asks the same question: "will this run on my 3060?" And the answers are almost always vibes. "Should be f…
Block the Merge if the Model Isn't Ready": Shifting Local AI Evaluations Left with CI Gates
We’ve all heard "it works on my machine," but when it comes to AI-driven features, that phrase is a recipe for disaster. You can have a perfectly test…
My AI agent got dumber mid-session. I measured the context window before blaming MCP.
There's a particular way an AI coding agent goes bad. Not a crash, not an error. It just gets duller. Halfway through a long session it forgets a cons…
Tokenization under the hood: BPE, WordPiece, SentencePiece, and Unigram compared
Tokenization under the hood: BPE, WordPiece, SentencePiece, and Unigram compared You deploy a chatbot. English queries average 42 tokens each. Then a …
Foundation vs. Instruct vs. Chat Models: One Question, Three Answers
A hands-on tutorial you can run for free in Google Colab. Run it yourself: open foundation_instruct_chat_tutorial.ipynb in Google Colab and run every …
AI Evals, Part 3: Golden Datasets That Dont Lie
Part 3 of a series on building production AI on .NET. Part 1 was the overview; Part 2 was error analysis. Now we turn the failure taxonomy you built i…
Stop letting the prompt be your state machine
Stop letting the prompt be your state machine You shipped an LLM feature six months ago. Now the same user input produces wildly different outputs dep…
The HTTP Code Your AI Agent Doesn't Handle Yet: 402
Your fetch agent knows two endings to a request. 200 : parse it. 403 : back off, rotate, or skip. That branch has been the whole game for years. There…
Stop hand-picking an LLM per request: a practical case for auto-routing
Most LLM features ship with the model name hardcoded. You picked it once — usually the strongest one you could justify — and now every request, trivia…
Can You Tell When an LLM API Swaps in a Cheaper Model?
If you call an open-weight model behind an API, whether that is your own box, a hosted endpoint, or a router, you are trusting that the thing answerin…
Why multi-agent orchestration is harder than it looks
One AI agent answering a question is useful. Five agents that divide a complex task, pass state to each other, and act on live enterprise systems is a…
The Complete Open-Source LLM Developer Curriculum — Now Free Forever
I Built a Free LLM Curriculum Because Every Tutorial Online Sucks — Here's What I Learned I spent 3 months last year jumping between tutorials, YouTub…
Building an AI Visibility Scanner: Hybrid AI Analysis Architecture
Building an AI Visibility Scanner: Hybrid AI Analysis Architecture If you've been following the AI space, you've likely noticed the shift: users are n…
Better Models Won't Fix AI Companions
I ran two small tests on AI companion behavior because I wanted to understand a question people keep circling around: Are AI companions bad because th…
RLAIF Is Eating RLHF — Here Are the Four Places Human Feedback Still Wins
RLAIF is having a moment. Walk through any alignment paper or vendor pitch from the last six months and you'll see the same claim: replace your human …
RLHF vs DPO vs IPO vs KTO: which alignment method should you use
RLHF vs DPO vs IPO vs KTO: which alignment method should you use You have a base model, say Llama 3.2 8B, that can write poetry in any meter and pass …
Your LLM prompt doesn't fit? Pack it by priority (zero dependencies)
Every RAG app and agent eventually hits the same wall: you have more stuff than fits in the model's context window — a system prompt, chat history, re…
I shipped 35 bugs in my AI chatbot. The scariest one was on the output side.
I ran my own AI chatbot plugin through a security review before release, and it came back with 35 bugs. Three were critical. The one that made my stom…
Local Inference Powers Browser Sign Language, Open-Source Agent Infra, & AI Engineering Guides
Local Inference Powers Browser Sign Language, Open-Source Agent Infra, & AI Engineering Guides Today's Highlights This week highlights practical a…
How to Build an AI Coding Stack Without Going Broke in 2026
A solo developer with a $200/month budget can now access the same AI coding power that cost enterprises $50,000/month just two years ago. The secret i…
Over-editing is a token tax: GPT-5.4 ships 6.5x more diff per fix than Claude Opus 4.6, and your bill notices
A model is over-editing if its output is functionally correct but structurally diverges from the original code more than the minimal fix requires. Lef…
How I Tested 5 Small LLMs on a Weak PC (Intel i5, No GPU) – And Found a Winner
A practical guide to running LLMs on budget hardware: real speeds, real stories, and real conclusions 📌 Table of Contents My Setup (The "Weak" PC) Why…
Xiaomi's MiMo Code gets better as tasks get harder. Here's how.
Xiaomi's MiMo team just open-sourced MiMo Code — a terminal coding agent built on top of OpenCode, MIT licensed. The pitch isn't raw benchmark numbers…
Echo grows up and becomes Hey, Reachy
Echo started as a companion-platform idea: memory, proactive behaviors, a model picker, a lot of surface area. When I picked it back up I wanted the o…
Moving From Chatbots to Agents: Testing OpenAI Operator
For months, we’ve treated LLMs like fancy autocomplete engines. You prompt, you wait, you copy-paste the output into your terminal. OpenAI’s Operator …
NVIDIA Blackwell Leads AgentPerf, the First Agentic-AI Infra Benchmark: Trajectory-Replay Benchmarking
What: The AgentPerf benchmark from Artificial Analysis is the first test built for agentic-AI infrastructure : instead of timing one chat completion, …
Искусственный интеллект без крайностей: реальные риски и реальные возможности
Помните, как в детстве казалось, что будущее - это летающие скейтборды из «Назад в будущее 2» и роботы-помощники? Ховерборд, может, еще и не появился,…
AI Doesn't Hallucinate. Your Architecture Does.
Everyone is talking about hallucination. That's the wrong diagnosis. Hallucination isn't a bug. It's the mechanism. Turn the temperature down far enou…
FinOps X 2026 recap: the great token panic
If you were following the FinOps X 2026 conference that just wrapped up in San Diego (June 8–11, 2026), you probably noticed a massive shift. The disc…