Large Language Models

**Privacy-Preserving Local LLM Inference for Developer Tooling** --- ## The Problem The proliferation of large language models (LLMs) in developer tooling has i

A practical guide to defending LangChain Python apps against prompt injection, with attack examples and layered mitigation patterns.

LLM Inference (HuggingFace Transformers) This is a minimal example of running a causal language...

**Privacy-Preserving Local LLM Inference for Developer Tooling** --- ## The Problem The proliferation of large language models (LLMs) in developer tooling has i

I was optimizing token costs in Socra — my production multi-agent LLM SaaS — when I found something...

On June 5, 2026, OpenAI announced Dreaming V3 — an automatic memory synthesis system now rolling out...

A six-month consensus In February 2026, Anthropic's Alignment Team published the Persona...

**Privacy-Preserving Local LLM Inference for Developer Tooling** --- ## The Problem The proliferation of large language models (LLMs) in developer tooling has i

We’ve all built the classic, straight-line RAG pipeline: chunk a document, toss it into a vector...

For the last few years, the AI industry has been obsessed with scale. Larger models. More...

The problem: endless API bills A few months back, our team started using GPT-4 for an...

Artificial Intelligence is no longer a single field of research—it has become the underlying...

We rebuilt the same mortgage workflow three times. Each iteration wasn't a prompt tweak—it was offloading one more responsibility from the LLM to the harness.

AI applications are no longer built around one model. A chatbot may need one model for fast replies,...

A real engineering debrief on how one bad retry pattern and missing token guardrails caused an AI API cost explosion and how to fix it.

When I first built Codey, it was a simple CLI wrapper around an LLM with a few basic tools. It was...

In a recent audit, a team showed me an AI assistant they'd built on top of their company knowledge...

I did not choose DeepSeek because I think GPT-4 is bad. I chose it because I was building a free app,...

Most developers think they're prompting AI. They're actually injecting a tiny message into a much...

A personal automation system that scrapes GitHub and the news, curates both with an LLM, and delivers three scheduled briefings straight to Telegram. No dashboa

Sakana AI's Fugu is a multi-agent orchestration system delivered as a single model API. This post explains how it works, why orchestration matters, and where te

Your Claude Code instance just generated a new skill. Fine. But this skill wasn't in your repo...

If you've been using AI tools for more than a few weeks, you've probably noticed a pattern: you ask...

Anthropic's Fable AI model sparked immediate controversy when the US government classified it as a...

Z.ai released slime, the RL post-training framework behind GLM-5.2. Full OPD in 2 days. Here's why the factory matters more than the model.

Bridging Python and Rust: Mitigating GIL Contention in a High-Throughput LLM Gateway When...

Multi-Provider LLM Failover: How to Automatically Switch When One API Goes Down Every...

Python LLM API Error Handling: A Complete Guide to 429 Rate Limits, Retries, and...

June 2026 is the most intensive month for AI model releases in recent years. Within two weeks, four...

I made my two biggest local models fight on one MacBook — GLM-4.5-Air at 6-bit vs a 284B DeepSeek at 2-bit. The most compressed one won.

How a major European real estate provider used large language model automation to reduce total operating costs by $6.5 million — and the engineering approach th

Most data analysts I know are using AI wrong. They type things like "analyze this data" or "write me...

Open-Source LLM Agents & Local AI Copilots: DeerFlow, Stock Analysis, Desktop...

Anthropic's June 16 research paper quantified expertise as a multiplier on agentic work. In the same week, a small cluster of practitioners is building the agen

If you trace the timeline of how LLMs went from a technologist's dream to early text-generation toys,...

As a backend engineer who has spent more than a decade designing distributed systems, asynchronous...

I Built an AI That Reads Your Face Against Your Own Words and Won Most Creative at the...

I Benchmarked 9 Multimodal AI APIs So You Don't Have To Last month I needed to pick a vision model...

LLM API bills can spiral fast once you're in production. Here are eight concrete techniques that...

You can get very close results to GPT 5.5 by using GPT 5.4 with a highly detailed prompt. I ran a...

A short learning path from a weekend project: I indexed my personal markdown notes (~800 chunks),...

Code reviews are the part of development everyone agrees is important and nobody has time for. What...

Reasoning models like o1 and DeepSeek-R1 think before they answer. Learn how RLMs work, when to use them, and how to build with them in production.

Part 4 (finale) of a 4-part series. Three model sizes tied on the same task — so when does bigger actually earn its keep? And the bug no model size could fix.

Why a simple string match beat Apple's NLEmbedding for local RAG how apple's nlembedding drove me...

Part 3 of a 4-part series. QLoRA explained — quantize the frozen base to 4-bit, then LoRA on top. The BitsAndBytesConfig that matters, the memory-footprint mome

I just completed Module 1 of the LLM Zoomcamp 2026 by @DataTalksClub — and honestly, this is the most...

Part 2 of a 4-part series. How LoRA works (the low-rank trick), a working PEFT config, and three real GPU walls I hit — the FP16 unscale error, an OOM, and a 2-