#AIML

2025-06-19

From Unpredictable to Reliable: Mastering JSON Output with Quarkus, Langchain4j, and Ollama
Stop wrestling with malformed AI responses. Learn how to generate clean, validated JSON from local LLMs
myfear.substack.com/p/taming-j
#Java #Quarkus #Langchain4j #Guardrails #llm #aiml

2025-06-16

✨ A Revolução Digital: Agentes e APIs Transformando a Internet!
📝 Mergulhe na nova era da web, onde agentes inteligentes e APIs potentes estão moldando a forma como interagimos online. Descubra como a inteligência artificial e o deep learning estão redefinindo experiências e criando oportunidades inovadoras. Não fique de fora dessa transformação! Clique e saiba mais!
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inkdesign.com.br/agentes-e-api

2025-06-12

So what are LLMs trained on to be able to explain code in English and turn prose into code? Training a neural net for image recognition is intuitive to an extent: you feed it a DB of millions of tagged images. Run it in reverse, it can even generate images which match some tags you feed it. But LLMs trained on Github... code isn't typically tagged. Some things are commented, but mostly code is just code. How does it do it? #LLM #Copilot #ChatGPT #AIML

2025-06-10

I'm looking for the smallest possible stable diffusion model, ideally containerized with a simple rest / fast API for running on arm / M4 devices.
Any leads?
#aiml

Magnus Hedemarkmaurice@pompat.us
2025-06-07

Thinking about applying to #Google for an #AIML role?

This guide breaks down the interview process, the technical concepts they actually test, and what makes the opportunity so compelling (beyond the prestige and pay).

If you're aiming for impact, scale, and a seat at the table shaping the future of AI, it's worth understanding what the journey looks like—and how to prepare for it.

👉 Read the full article: https://magnus919.com/2025/06/the-complete-guide-to-google-ai/ml-interviews-what-it-takes-to-land-your-dream-job/

The cover image shows a diverse group of people—including disabled technologists—collaborating outside Google HQ.
VictoriaMetricsvictoriametrics
2025-06-05

Considering AI/ML for observability? Join our Tech Talk: "AI/ML in : Can It Truly Inform and Guide?" June 26th, 10 AM PDT.
Marc & Mathias will cover vmanomaly () & our AI-driven with .
Explore the topic!
👉 hubs.li/Q03qGflb0

2025-06-03

How to Make an AI Chatbot from Scratch using Docker Model Runner
#Products #AIML #Docker #ModelRunner

docker.com/blog/how-to-make-ai

Magnus Hedemarkmaurice@pompat.us
2025-05-31

Saturday fun read: How Microsoft's annoying paperclip became a beloved meme 📎

From 'most hated feature' to teaching AI ethics at Stanford. Clippy's surprising redemption story!

https://magnus919.com/2025/05/the-rise-and-fall-of-clippy-from-microsofts-bold-vision-to-internet-legend/

#Clippy #AIML #ComputerHistory

Clippy appears in a Windows 95 pop-up saying, “I see you’re trying to focus on something without interruption. Can I help?” in retro pixelated style.
2025-05-31

#AIML From Tokens to Thoughts: How LLMs and Humans Trade Compression for Meaning arXiv:2505.17117 - Human semantic compression is not like AIML statistical compression (Chen Shani, Dan Jurafsky, Yann LeCun, Ravid Shwartz-Ziv 2025-05-26): x.com/ziv_ravid/status/1928118

2025-05-27

Ensuring Safe and Reliable AI Interactions with LLM Guardrails and Quarkus | by @BrianVerm
snyk.io/articles/ensuring-safe
#Java #quarkus #llm #aiml

2025-05-23

Quarkus MCP Sever 1.2 is the first Java based MCP SDK supporting streamable HTTP.
You can know use it from a phone and you can write it in Kotlin too.

Read more buff.ly/JLnxX07
#Java #quarkus #mcp #aiml

2025-05-22

✨ Domine a Análise de Dados com DAX!
📝 Aprenda a calcular intervalos de datas de forma eficaz para otimizar sua modelagem de dados. Descubra como o DAX pode transformar suas análises e impulsionar suas decisões de negócios. Não perca esta oportunidade de aprimorar suas habilidades em AI e ML! Clique no link e mergulhe nesse universo!
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inkdesign.com.br/dax-calcula-i

2025-05-21

From Text to POJO: Extracting Structured Data with Quarkus, Langchain4j, and Local LLMs
Learn how to turn messy text into clean Java objects using Quarkus, Langchain4j, and Ollama. No APIs, no cloud, just pure local LLM power!
myfear.substack.com/p/structur
#Quarkus #Java #AIML #LangChain4j #Ollama

Client Info

Server: https://mastodon.social
Version: 2025.04
Repository: https://github.com/cyevgeniy/lmst