AI, MLOps, and Robotics #49
This Week in AI, MLOps, and Robotics: The robots at CES, AI models can be trained to deceive, Finetune LLMs on your own consumer hardware, AI Trends 2024, Sam Altman on Bill Gates podcast, and much more!
??? Checkout my latest Fireside chat MLOps:
This week I hosted a fireside chat with Yujian Tang at Zilliz to talk about the essential role of vector databases in LLMOps. Checkout the recording on YouTube.
?? AI News & Stories:
? NVIDIA CEO: ‘This Year, Every Industry Will Become a Technology Industry’ - Read on TechCrunch ↗
? All the Robots We Met At CES 2024, in One Place - Read on CNET ↗
? Discoveries in weeks, not years: How AI and high-performance computing are speeding up scientific discovery - Read on Micrsoft ↗
? Anthropic researchers find that AI models can be trained to deceive - Read on TechCrunch ↗
? ‘Killer robots’ are coming, and U.N. is worried - Read on The Harvard Gazette ↗
? AI fears creep into finance, business and law - Read on Teh Washington Post ↗
? 1X, robotic startup backed by OpenAI, receives $100M in funding - Read on VentureBeat ↗
? Toyota's Robots Are Learning to Do Housework—By Copying Humans - Read on Wired ↗
?? ML Developer Tools & Resources:
? Finetune LLMs on your own consumer hardware using tools from PyTorch and Hugging Face ecosystem - Read on PyTorch ↗
? Moving Object Detection with OpenCV using Contour Detection and Background Subtraction - Read on LearnOpenCV ↗
? Make LLM Fine-tuning 2x faster with Unsloth and ?? TRL - Read on Hugging Face ↗
? AMIE: A research AI system for diagnostic medical reasoning and conversations - Read on Google Research ↗
? Can large language models identify and correct their mistakes? - Read on Google Research ↗
? Accelerate AI models on GPU using Amazon SageMaker multi-model endpoints with TorchServe, saving up to 75% on inference costs - Read on PyTorch ↗
? TomTom and BentoML Are Advancing Location-Based AI Together - Read on BentoML ↗
? A Guide to Large Language Model Operations (LLMOps) - Read on WhyLabs ↗
? Comparing Specialized Models to AWS Rekognition - Read on RoboFlow ↗
? Orbbec Announces Hiwonder Partnership for NVIDIA Jetson-Powered Educational Edge AI Robots - Read on Hackster ↗
? Understanding Consistency Models for Vector Databases - Read on Zilliz ↗
??? Upcoming AI Events (Ordered by date):
? AI Book Club: Designing Machine Learning Systems week 2 | Jan 16th - RSVP on Meetup ↗
? LLMs and Unstructured Data Tech Talks [Seattle] | Jan 16th - RSVP on Meetup ↗
? Hacking Content Creation with AI | Jan 17th - RSVP on Data Science Dojo ↗
领英推荐
? Monitoring LLMs in Production using LangChain and WhyLabs | Jan 23rd - RSVP on Eventbrite ↗
? DSS Seattle: Applying AI & ML to Retail & Ecommerce | Jan 24th - Register on Data Science Salon ↗
? Deploying Trustworthy Generative AI | Jan 24th - RSVP on Data Science Dojo ↗
? MLOps and Hops ?? [In-Person Happy hour] @ Stoup/Optimism | Jan 25th - RSVP on Meetup ↗
? AI, Machine Learning & Data Science Meetup | Jan 25th - RSVP on Voxel51 ↗
? Tutorial: Diving into Text Embedding Models | Jan 25th - Register on Zilliz ↗
? Seattle PySpark Welcome 2024! - in-person Meetup party | Jan31st - RSVP on Meetup ↗
? RAG Time! Evaluate RAG with LLM Evals and Benchmarking | Jan 31st - Register on Arize ↗
? Automated labeling with any foundation model: From images to inference in less than 20 minutes | Jan 31st - Register on Labelbox ↗
? Data Ingestion From APIs to Warehouses with Adrian Brudaru | Feb 5th - RSVP on Luma ↗
? Build Better Multimodal RAG Pipelines with FiftyOne, LlamaIndex, and Milvus | Feb 15th - Register on Zilliz ↗
??? AI Podcasts & Interviews:
? AI Trends 2024: Machine Learning & Deep Learning with Thomas G. Dietterich - Listen on TWiML ↗
? AI predictions for 2024 | Practical AI - Listen on Changelog ↗
? Technical Intro to Transformers and LLMs, with Kirill Eremenko - Listen on SuperDataScience ↗
? Sam Altman on Bill Gates podcast - Listen on YouTube ↗
?? Recent ML Research Papers
? LLM-as-a-Coauthor: The Challenges of Detecting LLM-Human Mixcase - Read on arXiv ↗
? Distilling Vision-Language Models on Millions of Videos - Read on arXiv ↗
? TOFU: A Task of Fictitious Unlearning for LLMs - Read on arXiv ↗
? Multimodal Data Integration for Oncology in the Era of Deep Neural Networks: A Review - Read on arXiv ↗
? LEGO:Language Enhanced Multi-modal Grounding Model - Read on arXiv ↗
? Optimal Chaining of Vehicle Plans with Time Windows - 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!
You Can Support This Newsletter By:
?? Leaving a comment with anything you found interesting this week!
? 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! ??
Hello! It's incredible how AI and robotics are reshaping our world ??. Bruce Lee once said - Be like water. It's fascinating how this applies to AI's adaptability and potential for innovation. What excited you the most about this week's developments? Would love to hear your thoughts! ???? #innovation #futureisnow
It's fascinating to see the diverse developments in AI and robotics, especially the concept of training AI models to deceive – it really underscores the importance of ethical considerations in AI development. ???? Generative AI can significantly enhance the quality of your work, from automating mundane tasks to providing deep insights, all while saving you time. I'd love to explore with you how generative AI could streamline your projects and elevate your output. ?? Let's chat and unlock the potential of AI in your work – book a call with us today! Cindy