📢 Hi all! The #InstructLab Community is evolving to better align with technical changes, with the project components being separated and relocated. Here is the full announcement: https://blog.instructlab.ai/2025/09/instructlab-community-evolution/
Thank you for all your participation and contributions in the past year! 🐶
Join us at AI Plumbers Conference on June 15 in #Berlin - an open source meetup for low-level AI builders to dive deep into "the plumbing" of modern AI
From Red Hat, Marta and Karsten will present how to go from a notebook sketch to a production-ready LLM app using #opensource tools like Podman AI Lab and #InstructLab
Details and registration: https://lu.ma/vqx423ct
I played with a local install of #InstructLab #LLM today and tested it with some questions about #Ansible and #wordle. I really wanted to be surprised, but ... wasn't 😢
This is part of my AI research, I'll post a bigger summary about the other parts soon.
Дообучение моделей на своих данных — просто и эффективно
В мире ИИ сложился миф, что для эффективной работы с языковыми моделями нужны огромные вычислительные мощности и команда дорогих специалистов. Но правда в том, что сегодня даже небольшая компания или отдельный разработчик могут создавать умные решения, адаптированные под свои нужды.
Check out the sessions in the AI track on #RHSummit Community Day!
We have topics ranging from #Docling to #TrustyAI, inferencing to features stores, topped with your favourite #InstructLab tools and #Granite models. Register and add the sessions to your schedule!
We'll be at @fossnorth in #Gothenburg next week, April 14-15! Learn about #InstructLab in the hands-on workshop on day 1 with @cybette
AI_dev Europe 2024からIBMとRed HatによるInstructLabのセッションを紹介
https://thinkit.co.jp/article/33868
(do I sound cool in Japanese? 😆 )
Learn about Synthetic data: a secret ingredient for better language models - and the approach #InstructLab takes, with Cedric Clyburn and @cybette
https://www.redhat.com/en/blog/synthetic-data-secret-ingredient-better-language-models
InstructLab
Martin Pitt
Habr
Carol Chen
