Large Language Models

Overview Hey everyone 👋 Some projects start as a quick idea and slowly grow into...

Series: Building a Modular Assessment Engine (1/10) What if a user could type one sentence — "build...

Most teams assume the fastest way to reduce AI costs is to switch to a smaller model. In reality,...

I Spent Two Weeks Testing Chinese AI Models and Got Surprised Let me be real with you. Before I...

If your memory is hosted, your thoughts are leased. We did not just move our files to the cloud. We...

Your AI is only as good as its data. Here's how to build automated data pipelines. The...

Claude Azure GA, Anthropic AI Workbench, Google NotebookLM Video Summaries ...

Defending the trust boundary in LLM apps: direct and indirect prompt-injection defense, input validation, schema-validated output, and PII redaction — with the

Defending the trust boundary in LLM apps: direct and indirect prompt-injection defense, input validation, schema-validated output, and PII redaction — with the

Token economics, cache_control prompt caching, the Batches API, and cheap-to-strong model routing — controlling LLM spend in Python without sacrificing quality.

Token economics, cache_control prompt caching, the Batches API, and cheap-to-strong model routing — controlling LLM spend in Java without sacrificing quality.

Building golden eval datasets, scoring with programmatic assertions and LLM-as-judge, and wiring regression tests into CI so a prompt or model change that hurts

Building golden eval datasets, scoring with programmatic assertions and LLM-as-judge, and wiring regression tests into CI so a prompt or model change that hurts

Building the same small tool-using agent on the raw Anthropic Java SDK, LangChain4j, and Spring AI, to see honestly where each framework earns its weight.

Building retrieval-augmented generation from first principles in Java: chunking, embeddings, a hand-rolled cosine-similarity vector search, reranking, and when

I build analytics for a living, so I have a reflex: don't trust a number you can't defend. Right...

Most prompts ask AI to explain things. The best ones ask it to show you something instead. That...

A strange thing is happening in AI education. Students are completing course after course,...

I Built an AI That Never Forgets — for $0 (Cognee Hackathon) By Team MindVault — Jay...

10 paper AI nổi bật nhất trên Hugging Face hôm nay: từ “Program-as-Weights” đến benchmark...

Last December, I discovered a small open-source project that became quite popular called pxpipe that...

I spent a weekend building a Q&A bot for my team's internal docs. It sounded easy: dump PDFs into...

When a language model or a translation decoder writes text, it never hands you a finished sentence....

How I Cut My LLM Costs 40x by Switching Off OpenAI This Month Let me tell you a quick story. Last...

In Part 1, we learned that building great AI applications isn't just about writing better...

TL;DR Benchmarked llama.cpp, Ollama, and vLLM across 5 models (1B to 116.8B params) on one...

Navigating the constant influx of AI news requires a systematic filter built for builders, not...

Ask ChatGPT or Perplexity "what's the best note-taking app" and you get a shortlist of three to five...

Every scanner in the AI-readiness space checks for llms.txt. Half the sites that fail the check fail...

Ten Layers of AI Skill Construction: A Systematic Framework from Prompts to Business Closed...

Last week I exported over six months of chat history to trace a cross-session project decision chain,...

# ArxivLens: Build the Ultimate AI-Powered Academic Research Engine If you are a builder or a technical founder, you know the pain: the gap

What We Built in This Guide In the previous guide, we went from RAG to cloud deployment....

Master the n8n Information Extractor node: extract structured fields from unstructured text using LLMs. Schema definition, output modes, gotchas, and 3 real wor

Better Models: Worse Tools Armin reports on a weird problem he ran into while hacking on Pi: The short version is that newer Claude models sometimes call Pi’s e

Casi todo el "manejo de prompts" es una carpeta de archivos .txt y una revisión de código. Esto es lo...

How to build deterministic guardrails around probabilistic LLM outputs using structured schemas, runtime validation, and CI/CD evals.

Give your property a maintenance@ Agent Account that intakes tenant requests, prioritizes them with an LLM, routes known vendors by sender rule, and emails tena

On March 31, 2026, one of the most extraordinary events in AI industry history unfolded — not through...

The Problem In an era of endless meetings, long-form articles, and complex technical...

Semantic coherence is not a quality metric or an alignment outcome. It is the structural condition...

Introduction Artificial Intelligence has advanced rapidly over the past few years, but...

I've run production RAG systems on four of these. Here's the comparison I wish someone had written...

How we integrated real-time phrase translation feedback into our AI-powered book translation...

If you're juggling separate SDKs and API keys for OpenAI, Anthropic, and Google, here's a simpler...

Learn how to integrate LLMs into Java applications using Solon 4.0's ChatModel API. Covers sync/streaming calls, conversation memory with ChatSession, and pract

Half a year ago, I wanted to see for myself what can we currently have with local LLMs. I went down...

Two weeks before we launched Relevyn, I opened ChatGPT and asked it a question I already thought I...