AI, MLOps & Robotics Newsletter #113

The latest developments in AI, MLOps, and Robotics: Hugging Face's latest open source robot, LLM Benchmarks Are Lying to You, SmolLM3 Blueprint, ScreenEnv: Deploy your full stack Desktop Agent, How to Build a Knowledge Graph , MedGemma: Google's most capable open models for health AI development, Liquid AI Introduces LFM2: The Fastest On-Device Foundation Models on the Market, and much more!

📰 AI News & Stories:

• Hugging Face just launched a $299 robot that could disrupt the entire robotics industry - Read on VentureBeat
• Robot performs first realistic surgery without human help - Read on John Hopkins
• OpenAI’s $3 billion deal with AI coding startup Windsurf collapses, as Google swoops in for licensing deal - Read on Fortune
• ‘I felt pure, unconditional love’: the people who marry their AI chatbots - Read on The Guardian
• AI coding tools may not speed up every developer, study shows - Read on TechCrunch
• The Need for Transparency in Frontier AI - Read on Anthropic

💻 ML Developer Tools & Resources:

• Enabling Fully Sharded Data Parallel (FSDP2) in Opacus - Read on PyTorch
• SmolLM3 Blueprint: SOTA 3B-Parameter LLM - Read on LearnOpenCV
• MedGemma: Our most capable open models for health AI development - Read on Google Research
• Graph foundation models for relational data - Read on Google Research
• Asynchronous Robot Inference: Decoupling Action Prediction and Execution - Read on hugging Face
• ScreenEnv: Deploy your full stack Desktop Agent - Read on hugging Face
• Efficient MultiModal Data Pipeline - Read on hugging Face
• How to Build a Knowledge Graph in 7 Steps - Read on Neo4j
• Upgrading agentic coding capabilities with the new Devstral models - Read on Mistral
• Why Benchmarks Matter for Evaluating LLMs (and Why Most Miss the Mark) - Read on LabelStudio
• How to Build an Agent - Read on LangChain
• T5Gemma: A new collection of encoder-decoder Gemma models - Read on Google for Developers
• Introducing LFM2: The Fastest On-Device Foundation Models on the Market - Read on Liquid AI
• How to Run Coding Assistants for Free on RTX AI PCs and Workstations - Read on NVIDIA

Join my next LLM workshop on 7/30/25: Fine-tune & Serve LLMs with LoRA & QLoRA for Production

📅 Upcoming AI Events

• AI, ML and Computer Vision Meetup | July 17 - RSVP on Voxel51
• Building Reliable AI Systems for Production with MongoDB and Galileo | July 17 - RSVP on MongoDB
• Building a PDF-driven RAG system with Weaviate | July17 - RSVP on Luma
• Agents in Production 2025 | Jul 17 - RSVP on MLOps community
• Introduction to Vibe Coding: Build a Game with AI | July 21 - RSVP on Luma
• Build Object Detection Pipelines & Computer Vision Applications | July 24 - RSVP on Eventbrite
• Build Real AI Success: From Vectors to Value with MongoDB Atlas on Azure | July 24 - RSVP on MongoDB
• AI Book Club: Reinforcement Learning for Finance | July 29 - RSVP on Luma
• Building a Data Analytics Agent using LLMs | July 30 - RSVP on Data Science Dojo
• Fine-tune & Serve LLMs with LoRA & QLoRA for Production | July 30 - RSVP on Eventbrite
• Build an AI Coding Agent | Aug 12 - RSVP on Luma
• AI-Powered Automation with LLMs and Power Automate - RSVP on Data Science Dojo
• AI Book Club: Building Agentic AI Systems | Aug 26 - RSVP on Luma

🎙️ AI Podcasts & Interviews:

• How Bristol Myers Squibb Is Accelerating Drug Development With AI - Listen on NVIDIA
• AI in the shadows: From hallucinations to blackmail - Listen on Practical AI
• LLM Benchmarks Are Lying to You (And What to Do Instead), with Sinan Ozdemir - Listen on SuperDataScience
• Distilling Transformers and Diffusion Models for Robust Edge Use Cases with Fatih Porikli - Listen on TWiML
• How DeepL Built a Translation Powerhouse with AI with CEO Jarek Kutylowski - Listen on Weights & Biases

📝 Latest AI/ML Research Papers

Still catching up from vacation... will read papers next week :)

But if you ready any interesting ones feel free to leave in the comments!

Hello, world! Every week, I keep track of the most exciting news, resources, events, podcasts, and papers I find around AI, MLOps, and robotics. Sometimes I sprinkle in my opinions. Let me know in the comments what I missed this week!

You Can Support This AI Newsletter By:

💬 joining the Flyte MLOps Slack Group and introduce yourself!

⭐ Give Flyte, the open-source MLOps project I work on, a GitHub star!

Connect with or follow me (Sage Elliott) for more machine learning, MLOps, and robotics content. Have a great week! 😊