AI, MLOps & Robotics Newsletter #84

The latest developments in AI, MLOps, and Robotics: Google & Anthropic are building Agents to use a full computer, a new ‘watermark’ for AI-generated text, Stable Diffusion 3.5 Large is here, build computer vision pipelines, and much more!

?? Join me live at my next workshop on 10/30: Intro to ML Pipelines: Build Reliable AI Workflows. RSVP to attend live and get the recording.

?? AI News & Stories:

• Researchers say an AI-powered transcription tool used in hospitals invents things no one ever said - Read on AP News
• Future of farming? Carbon Robotics raises $70M for AI robots that blast weeds with lasers - Read on GeekWire
• Google unveils invisible ‘watermark’ for AI-generated text - Read on Nature
• How AI Is Killing The Harvard MBA - Read on Forbes
• India’s Robotics Ecosystem Adopts NVIDIA Isaac and Omniverse to Build Next Wave of Physical AI - Read on NVIDIA
• Google is reportedly developing a ‘computer-using agent’ AI system - Read on The Verge
• Anthropic also announced they're working on a computer-using agent - Read on Anthropic

?? ML Developer Tools & Resources:

• Scalable self-improvement for compiler optimization - Read on Google Research
• Introducing HUGS - Scale your AI with Open Models - Read on Hugging Face
• Roboflow estimates a 74-year time savings across its community from using Meta’s Segment Anything - Read on Meta AI
• Reproducing Liger Kernel Benchmarks on Phi3 Mini - Read on Union
• Hugging Face Teams Up with Protect AI: Enhancing Model Security for the Community - Read on Hugging Face
• A Guide to Open-Source Embedding Models - Read on BentoML
• AI for Industrial Control Systems: Bringing Edge AI to PLCs - Read on Edge Impulse
• Simplifying, stabilizing, and scaling continuous-time consistency models - Read on OpenAI
• Diffusers welcomes Stable Diffusion 3.5 Large - Read on Hugging Face
• Computer vision in manufacturing: transformative solutions through automation - Read on Groundlight
• Techniques for Self-Improving LLM Evals - Read on Arize
• Best Practices in Implementing Retrieval-Augmented Generation (RAG) Applications - Read on Zilliz
• Intro to Object Detection & Computer Vision Pipelines - AI Workshop - Watch on YouTube

??? Upcoming AI Events (Ordered by date):

Like reading books? Join the AI book club, where we read a new book every month!

• AI Book Club: Building Recommendation Systems in Python and JAX: Week 5 discussion | Oct 29th - RSVP on Meetup
• Introduction to Weaviate | October 29th - Register on Weaviate
• Intro to ML Pipelines: Build Reliable AI Workflows | Oct 30th - Register on Eventbrite
• AI Agents in Production | Nov 13th - Register on MLOps Community
• AI meetup (Seattle): AI, LLMs, and ML | Nov 6th - Register on AI Camp
• AI Seminar (Virtual #8): Google Gemini and Vertex AI | Nov 6th - Register on AI Camp
• SeaGL (Seattle) | Nov 8 - 9th - Register on SeaGL
• Multi Agent Framework: A Comprehensive Crash Course | Nov 13th - Register on Data Science Dojo
• IMPACT 2024 Virtual Summit for Data Observability | Nov 14th - Register on AI Camp

??? AI Podcasts & Interviews:

• Zoom CTO Xuedong "XD" Huang on How AI Revolutionizes Productivity - Listen on NVIDIA
• Big data is dead, analytics is alive | Practical AI Podcast - Listen on Changelog
• Neuroscience Fueled by ML, with Prof. Bradley Voytek - Listen on SuperDataScience
• Is Artificial Superintelligence Imminent? with Tim Rockt?schel - Listen on TWiML
• Vercel’s CEO & founder Guillermo Rauch on AI’s impact on web development and front end engineering | WandB - Listen on YouTube
• Running Generative AI Models In Production - Listen on AI Engineering Podcast

?? Latest ML Research Papers

• 1-bit AI Infra: Part 1.1, Fast and Lossless BitNet b1.58 Inference on CPUs - Read on arXiv
• Allegro: Open the Black Box of Commercial-Level Video Generation Model - Read on arXiv
• Breaking the Memory Barrier: Near Infinite Batch Size Scaling for Contrastive Loss - Read on arXiv
• Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite Learning - Read on arXiv

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!

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?? join 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! ??