AI, MLOps, and Robotics #22
This Week in AI, MLOps, and Robotics: AWS launches $100M program to fund generative AI, Robots learn to perform chores by watching YouTube, Six skills you need to become an AI prompt engineer, What's going on with the Open LLM Leaderboard, Production-Ready Models with Databricks, Demystifying GPT Self-Repair for Code Generation, Solving LLM Data Hurdles and much more!
My Previous Event:
Monitoring Large Language Models in Production using OpenAI & WhyLabs
?? News & Stories:
- Deep Learning Digs Deep: AI Unveils New Large-Scale Images in Peruvian Desert - Read on NVIDIA ↗
- AWS launches $100M program to fund generative AI initiatives - Read on TechCrunch ↗
- The Race to Prevent ‘the Worst Case Scenario for Machine Learning’ - Read on The NewYork Times ↗
- Amazon's generative AI playground is open - Read on Axios ↗
- People switch to AI to learn languages - Read on BBC ↗
- Robots learn to perform chores by watching YouTube - Read on TechCrunch ↗
- Rise of the robots raises a big question: what will workers do? - Read on The Guardian ↗
- Six skills you need to become an AI prompt engineer - Read on ZDNet ↗
?? Developer Tools & Resources:
- Introducing Voicebox: The first generative AI model for speech to generalize across tasks with state-of-the-art performance - Read on the Meta AI Blog ↗
- How to Build a Pip Installable Package & Upload to PyPi - Read on LearnOpenCV ↗
- Preference learning with automated feedback for cache eviction - Read on Google AI Blog ↗
- On-device fetal ultrasound assessment with TensorFlow Lite - Read on the TensorFlow blog ↗
- Introducing the FlyteCallback for Hugging Face - Read on the Flyte blog ↗
- Production-Ready Models with Databricks and WhyLabs - Read on WhyLabs ↗
- What's going on with the Open LLM Leaderboard? - Read on HuggingFace ↗
- Fundamentals of Recommendation Systems - Read on PyImageSearch ↗
??? Upcoming Events (Ordered by date):
June - July is often a slower time for events, please add any you know to comment on this Newsletter!
领英推è
- LLM Avalanche Gigantic Meetup | San Francisco, 5:00pm - Register on avalanche.fm
- Kubernetes for Data Scientists | Online, Jun 28, 4:30pm PT - Register on AI Camp ↗
- StateoftheArt() - A Generative AI Conference on LLMS and AI Agents | Online, Jul 11, 9:00am PT - Register on AI Camp ↗
- PyTorch Conference 2023:?San Francisco October 16-17 -?Learn more on the PyTorch blog ↗
??? AI Podcasts & Interviews:
- From ML to AI to Generative AI | Practical AI - Listen on changelog ↗
- Marc Andreessen: Future of the Internet, Technology, and AI | Lex Fridman Podcast - Listen on YouTube ↗
- Mojo: A Supercharged Python for AI with Chris Lattner - Listen on TWiML ↗
- How to Catch and Fix Harmful Generative A.I. Outputs - Listen on SuperDataScience ↗
- Stephen Balaban from Lambda on building the most cost-effective AI cloud - Listen on the Robotic Brains Podcast ↗
- Solving LLM Data Hurdles: Strategies for Success - Yujian Tang, Zilliz - Listen on YouTube ↗
?? Recent ML Research Papers:
- Towards Explainable Evaluation Metrics for Machine Translation - Read on arXiv ↗
- Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective - Read on arXiv ↗
- PromptIR: Prompting for All-in-One Blind Image Restoration - Read on arXiv ↗
- Demystifying GPT Self-Repair for Code Generation - Read on arXiv ↗
- Investigating the Usability of Collaborative Robot control through Hands-Free Operation using Eye gaze and Augmented Reality - Read on arXiv ↗
- Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs - Read on arXiv ↗
- Auditing Predictive Models for Intersectional Biases - Read on arXiv ↗
Hello, world! Every week I keep track of the most interesting news, resources, events, podcasts, and papers I find around AI, MLOps, and robotics. Sometimes I sprinkle in my opinions. Let me know what I missed this week in the comments!
You Can Support This Newsletter By:
?? Leaving a comment with anything you found interesting this week!
??? Joining the discussion in the?Robust & Responsible AI Slack!
? Giving the?open-source ML monitoring 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! ??
Ni Hao from Seattle
1 å¹´Great resources! I will definitely check out several of these articles and links including the NVDIA article about AI large-scale images and the Peruvian desert, Lex Fridman's interview with Marc Andreessen, and the BBC article about how folks are turning to AI to learn languages. Cool round-up this week - thanks!
Lead Design Engineer | Machine Learning | Deep Learning | Computer Vision | Data Analysis | Statistics | Decision Making | Science engineer | Researcher
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