How to achieve scalable AND cost-effective Inference & Serving? If you or your team are facing the pressure of finding an efficient way of hosting bigger models🤖 and serve them faster⏩ while keeping costs under control💰, this whitepaper might interest you. What it covers: 1. The Hidden Costs of Fragmented AI Systems – Understand how ad-hoc AI deployments can lead to technical debt and unnecessary expenses. 2. Key Challenges in AI Serving & Inference – Explore critical issues like cold start latency, infrastructure compatibility, and other factors to evaluate when choosing serving solutions. 3. Benchmarking Top Solutions – Compare Union’s performance against AWS SageMaker and Anyscale in areas like speed, flexibility, and efficiency. 4. Future-Proofing Your AI Platform – Learn how a unified approach to AI training and serving can reduce complexity and improve long-term efficiency. The whitepaper also highlights how Union delivers 2x faster🔥 model deployment with multi-cloud flexibility and reduced operational costs. Read the paper today!

https://github.com/kubernetes/kubernetes/issues/131009 TL;DR if you're running NGINX Ingress controller, upgrade to 1.11.5 or 1.12.1 to mitigate a vulnerability that allows RCE when an attacker is in the Pod network.

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Hey everyone: In the spirit of "learning in public" I posted this short study of parallelism options in Flyte and Union and how they compare in terms of performance https://dev.to/davosplatz/boost-your-ml-pipeline-performance-with-efficient-parallelism-369m Feel free to add comments or suggest changes.

Hi everyone! I'm an early-career developer with a strong interest in AI and Machine Learning. I'm looking to upskill and eventually transition into AI Engineer roles. Could you recommend the best courses or certifications that are both valuable for learning and help strengthen my resume? I’d love to hear what worked for you or what’s currently in demand in the industry. Thanks in advance!

Final unit for the Hugging Face Agents course is out! https://huggingface.co/learn/agents-course/unit4/introduction

Meta just released synthetic data kit https://github.com/meta-llama/synthetic-data-kit/

Gradio to MCP is out! https://huggingface.co/blog/gradio-mcp

Olmo2 1b https://techcrunch.com/2025/05/01/ai2s-new-small-ai-model-outperforms-similarly-sized-models-from-google-meta/

Brief exploration of Flyte's dynamic workflows that I hope can be useful for someone else: https://dev.to/davosplatz/understanding-flytes-dynamic-workflows-how-they-power-scalable-ml-pipelines-44b0

Interesting. Certification AKYLADE AI Security Foundation (A/AISF) https://www.akylade.com/certifications/aisf Note (They also have a BETA certification AKYLADE AI Security Practitioner (A/AISP)) You can get the training course on Udemy for $9.99 USD when on sale. https://www.udemy.com/course/akylade-ai-security-foundation-full-course-practice-exam/ YouTube AMA Ask Me Anything: A/AISF Certification Live with the Experts In this video, Jason mentions that CompTIA is coming out with a SecurityAI+ certification in mid to late 2026. In my opinion, Dion Training does provide really good training for quite a few certifications out there. Book AI Security Essentials: Strategies for Securing Artificial Intelligence Systems with the NIST AI Risk Management Framework (Artificial Intelligence (AI) Security) https://www.amazon.com/Security-Essentials-Strategies-Artificial-Intelligence/dp/B0F8VVQ3S5/ref=sr_1_1

AI Data Security Best Practices for Securing Data Used to Train & Operate AI Systems The FBI, NSA, CISA, and other partners released an information sheet on AI data security. We outline potential risks to AI systems during development, testing, and operation, along with recommended protocols to mitigate the risks and best practices to secure data. Click for an in-depth examination of three significant areas of data security risks in AI systems: data supply chain, maliciously modified (“poisoned”) data, and data drift: https://www.ic3.gov/CSA/2025/250522.pdf

Hey everyone! A friend of mine recently completed the Machine Learning Specialization and is now looking to expand into Robotics and Quantum AI. He’s a working professional, so he's specifically looking for online Master’s programs that are flexible and recognized in the industry , something that would add strong value to his resume. If you know of any great programs or have personal recommendations, please share. Thanks in advance!

Finetune SmolVLA https://share.google/utS8r1RaJY7mEvtxy

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Hey everyone — quick heads-up: We're hosting a private live demo of RagMetrics, the platform designed to help GenAI teams evaluate LLM outputs at scale — think hallucination detection, scoring, and output quality monitoring. 📅 Tuesday, July 2 🕛 12:00 PM ET / 9:00 AM PT 🎯 For teams building copilots, assistants, RAG apps, or LLM features 🎟️ Free to attend → https://lu.ma/bcawigfz If your team is shipping GenAI to production, this will save you time (and headaches). Join us! lu.ma RagMetrics Private Demo – Stop Guessing, Start Evaluating Your GenAI Apps · Zoom · Luma

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Open AI's open models are out! https://openai.com/open-models/