OpenProject 17.5: Project-based identifiers

OpenProject 17.5: Project-based identifiers

Video by OpenProject | Open Source Project Management via YouTube
OpenProject 17.5: Project-based identifiers

The release brings various features and improvements for you.

00:00 – Introduction
0:19 – Project-based work package identifiers
1:13 – Enhanced Jira Migrator with support for project & issue identifiers
1:31 – Jira Migrator supports due dates, remaining and estimated hours
1:41 – Improved inline work package linking in the Documents module and in the CKeditor
2:09 – Redesigned Backlog and sprints view
2:35 – Meetings improvements, including monthly meeting scheduling
2:46 – Workflow configuration improvements

Find out more about all features and improvements in our release notes: https://www.openproject.org/docs/release-notes/17-5-0/

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Training Agents: Live tutorial on how to fine-tune a coding agent for continual learning

Training Agents: Live tutorial on how to fine-tune a coding agent for continual learning

Video by Hugging Face via YouTube
Training Agents: Live tutorial on how to fine-tune a coding agent for continual learning

Training Agents, Session 1: from raw agent traces to a supervised fine-tuning baseline.

In this live session, I’ll set up the first rung of an agentic post-training workflow: SFT. We’ll take public coding-agent traces, turn them into prompt/completion training data, run a small TRL + LoRA fine-tune, and inspect what the first metrics can and cannot tell us.

What we’ll cover:
– Why start with SFT before GRPO or environment RL
– How agent traces become training examples
– Completion-only loss for chat/tool traces
– Running TRL SFT on Hugging Face Jobs
– Keeping experiments reproducible without checking in logs or checkpoints
– What the first eval metrics do and do not prove

Repo:
https://github.com/burtenshaw/training-agents

This is part of the Training Agents series: using coding agents to design, run, monitor, and review post-training experiments, while training models to become better agents.

#TRL #HuggingFace #PostTraining #AIAgents #FineTuning

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Scaling Vector Search in Distributed Databases: The YDB Journey, Alexander Zevaykin, #FOSSASIA 2026

Scaling Vector Search in Distributed Databases: The YDB Journey, Alexander Zevaykin, #FOSSASIA 2026

Video by FOSSASIA via YouTube
Scaling Vector Search in Distributed Databases: The YDB Journey, Alexander Zevaykin, #FOSSASIA 2026

Vector search is at the core of modern AI applications, but scaling it across distributed systems presents major engineering challenges. This talk explores how YDB, an open source distributed SQL database, evolved from basic vector search to a highly scalable architecture capable of managing billions of vectors across thousands of nodes.

Learn the key stages of building vector search in a distributed database, including indexing strategies, performance optimization, and the challenges of maintaining speed, scalability, and reliability at massive scale. We’ll also examine how YDB’s global indexing approach enables efficient similarity search for AI, machine learning, and retrieval-augmented generation (RAG) workloads.

Perfect for database engineers, AI practitioners, and platform teams interested in vector databases, semantic search, distributed systems, and large-scale AI infrastructure.

FOSSASIA Summit 2026 held in Bangkok, is Asia’s leading Open Source tech conference featuring sessions on #AI, #Cloud, #DevOps, #Open Hardware, #Security, #Web #Mobile Technologies, #Web3, and #Databases. Learn more: http://summit.fossasia.org

Session slide: https://eventyay.com/ev/88882f3e/talk/XD1HQYDG3C3G/

#FOSSASIA #FOSSASIASummit #opensource #FOSS

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The story of my open source, baby grand piano.

The story of my open source, baby grand piano.

Video by Awesome Open Source via YouTube
The story of my open source, baby grand piano.

This is the story behind my open source, Baby Grand Piano. It’s been a dream of mine for decades to have myown Baby Grand Pinao. I realized I would never be able to afford one, so I built my own.

=== Links ===
FreeCAD: https://www.freecad.org/

OrcaSlicer: https://github.com/OrcaSlicer/OrcaSlicer

WLED: https://kno.wled.ge/
– Gledopto: https://gledopto.com/

Ubuntu Studio: https://ubuntustudio.org/

HomeAssistant: https://www.home-assistant.io/

=== Support this channel: ===
Patreon: https://www.patreon.com/c/awesomeopensource
PayPal: https://paypal.me/brianmcgonagill
Merchandise: https://osia.printify.me

=== SPECIAL THANKS ===
– My Wife, Beatriz McGonagill (she is amaster of all she attempts and the only reason I have this project done).
– My Brother-in-Law (Lauro Lopez – Lopez Paint and Body – Lubbock, TX) – He is an incredible auto body professional, and you should stop by and show him some business if you’re in the area.
– My Uncle – Walter McGonagill – he was pivotal in getting the piano legs prepped and ready for paint, thank you!
– My Aunt – Betty McGonagill – She plays beautifully, and made my piano really come to life.

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AI Tutors: The Future of Learning & Engineering

AI Tutors: The Future of Learning & Engineering

Video by Open Data Science and AI Conference via YouTube
AI Tutors: The Future of Learning & Engineering

Here, Lake Dai of Sancus Ventures and CMU explores the evolving relationship between humans and AI, the decline in junior developer roles, and the rise of super engineers.

Want to learn more about AI in person? Check out ODSC AI West 2026, coming to Burlingame this October 27th-29th: https://hubs.li/Q04cYsmk0

#DataScience #AI #ArtificialIntelligence #ODSCAI

————————————————————————————————————-

Visit our website and choose the nearest ODSC event to attend and experience all our training and workshops: https://odsc.ai

To watch more videos like this, visit https://aiplus.training

Sign up for the newsletter to stay up to date with the latest trends in data science: https://opendatascience.com/newsletter/

Follow us online!
• Facebook: https://www.facebook.com/OPENDATASCI
• Instagram: https://www.instagram.com/odsc/
• Blog: https://opendatascience.com/
• LinkedIn: https://www.linkedin.com/company/open-data-science/
• X (twitter): https://x.com/_odsc

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Generative AI Hub for Enterprise AI Development

Generative AI Hub for Enterprise AI Development

Video by SAP via YouTube
Generative AI Hub for Enterprise AI Development

See how Generative AI Hub helps organizations move from AI experimentation to real business impact.

Generative AI can create powerful opportunities, but scaling it across the enterprise requires the right foundation. Teams need centralized model access, built-in governance, secure development tools, and a clear path from experimentation to production.

Generative AI Hub brings AI development into one enterprise-ready platform, with centralized access to SAP and partner foundation models, orchestration, governance, and administration. It provides a single entry point to explore ready-to-use multimodal AI models, agents, and predictive insight capabilities, pre-integrated, fully managed, and connected to SAP business context.

With a low-code playground, developers and teams can compare models, optimize prompts, and test use cases faster. Using one API, they can ground model outputs in enterprise data, orchestrate complex scenarios across applications, and maintain control over AI access, monitoring, security, and costs.

The result is a faster, more governed way to productize AI use cases and scale generative AI across the business.

Learn more about Generative AI Hub:
https://www.sap.com/products/artificial-intelligence/generative-ai-hub.html

Follow us on social:
LinkedIn: https://www.linkedin.com/company/sap/
Instagram: https://www.instagram.com/sap
Facebook: https://www.facebook.com/SAP/
Threads: https://www.threads.com/@sap

About SAP:
As a global leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit: https://www.sap.com/index.html

#SAP #BusinessAI #GenerativeAI

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Open Source Summit North America 2026 Highlights & Key Takeaways (Minneapolis)

Open Source Summit North America 2026 Highlights & Key Takeaways (Minneapolis)

Video by The Linux Foundation via YouTube
Open Source Summit North America 2026 Highlights & Key Takeaways (Minneapolis)

It was an incredible three days in Minneapolis as the global open source community came together for Open Source Summit North America 2026, held May 18–20. This highlight reel captures the energy, collaboration, and innovation that defined this year’s gathering.

From keynotes and technical deep dives to hallway conversations and community celebrations, the summit showcased the people and projects shaping the future of open source.

What’s inside:
– Key moments from the main-stage and breakout sessions
– Insights from maintainers, contributors, and ecosystem leaders
– Demos and announcements from across the Linux Foundation community
– The spirit of collaboration that makes open source thrive

If you enjoyed this highlight video, share it with your team or community and keep the momentum going.

Explore more about the event through open source leadership or dive deeper into community building.

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Open-Source Digest: Coworking, Farming, AI, & More

Open-Source Digest: Coworking, Farming, AI, & More

Community & Collaboration Social Coworking Highlights: Join upcoming sessions on SORTEE, Vale text linting, and debugging in R—perfect for skill-building and networking. R Conference Announced: Rencontres R 2026 will be held in Nantes; mark your calendar for the French R community event. Wikimedians Marathon: The Igbo Wikimedians User Group hosts a 72-hour virtual edit-a-thon in … Read more