AI, MLOps, and Robotics #54

This Week in AI, MLOps, and Robotics: Creating video from text with Sora, Google's next-generation model Gemini 1.5, Reddit signs content licensing deal for AI, opens source synthetic data, Deploying A Text-To-Speech Application, Evaluating Your Embedding Mode, and much more!

My next event: Join me at the next fireside chat as we speak with Rajat Arya about the Challenges of Building an ML Platform. Register to attend live, ask questions, and get the recording!

?? AI News & Stories:

• OpenAI shows off SORA | Creating video from text - Read on OpenAI
• Google's next-generation model: Gemini 1.5 - Read on Google
• Y Combinator Seeks Startups in Robotics, Space and Defense - Read on Bloomberg
• Reddit signs content licensing deal with AI company ahead of IPO - Read on Reuters
• AI hiring tools may be filtering out the best job applicants - Read on BBC
• NIST, Nonprofit Research Consortium to Develop Safety Tools for Synthetic Biology to Defend Against Potential Misuse of AI - Read on NIST

?? ML Developer Tools & Resources:

• V-JEPA: The next step toward Yann LeCun’s vision of advanced machine intelligence (AMI) - Read on Meta AI
• Deciphering LLMs: From Transformers to Quantization - Read on LearnOpenCV
• Synthetic data: save money, time and carbon with open source - Read on Hugging Face
• Deploying A Text-To-Speech Application with BentoML - Read on BentoML
• Iterating at Scale with Interactive Tasks in Union - Read on Union
• Open Sourcing FlyteInteractive: Saving thousands of AI engineering hours in developing ML interactively - Read on LinkedIn Engineering
• No Scalpel Left Behind: Tracking Surgical Tools with AI and Synthetic Data from NVIDIA Omniverse - Read on Edge Impulse
• Announcing the General Availability of LangSmith - Read on Langchain
• Evaluating Your Embedding Model - Read on Zilliz
• Learning the importance of training data under concept drift - Read on Google Research

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

• AI Book Club: Implementing MLOps in the Enterprise | Feb 20th - Register on LinkedIn
• Generative AI from Proof of Concept to Production | Feb 21 - Register on Data Science Dojo
• Flyte School: Empowering Workflows - Building Sensors and Agents in Flyte | Feb 22nd - Register on Union AI
• Startup CEOs Panel [in-person, Seattle] | Feb 22nd - Register on Meetup
• The Challenges of Building an ML Platform with Rajat Co-founder XetHub | Feb 27th - Register on Eventbrite
• RAG in Action: Next-Level Retrieval Augmented Generation | Feb 27th - Register on Luma
• Building Simple and Efficient Chatbots Step-by-Step | Feb 28 - Register on Data Science Dojo
• Evaluating Large Language Models | March 6th - Register on Data Science Dojo
• User Experimentation for AI Applications with Timothy Chan at Statsig | Mar 7th - Register on Eventbrite

??? AI Podcasts & Interviews:

• Marc Raibert: Boston Dynamics and the Future of Robotics - | Lex Fridman - Listen on YouTube
• Gemini vs OpenAI | Practical AI podcast - Listen on Changelog
• Are Emergent Behaviors in LLMs an Illusion? with Sanmi Koyejo - Listen on TWiML
• How to Speak so You Blow Listeners’ Minds, with Cole Nussbaumer Knaflic - Listen on SuperDataScience
• How the Ohio Supercomputer Center Drives the Future of Computing | NVIDIA Podcast - Listen on Soundcloud
• OpenAI’s Sora, a new Amazon book, and 5 days a week in the office - Listen on Geekwire

?? Recent ML Research Papers

• OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset - Read on arXiv
• Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention - Read on arXiv
• Chain-of-Thought Reasoning Without Prompting - Read on arXiv
• Radio-astronomical Image Reconstruction with Conditional Denoising Diffusion Model - Read on arXiv
• Self-Play Fine-Tuning of Diffusion Models for Text-to-Image Generation - 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! ??