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AI EngineeringDemystifying Amazon’s Chronos: Learning the Language of Time Series
Introduction This week, we’ve covering Amazon’s time series model: Chronos. Developing accurate machine-learning-based forecasting models has traditionally required substantial dataset-specific tuning and model customization. Chronos however, is built… Sarah Welsh April 4, 2024 36 min read -
AI EngineeringAnthropic Claude 3
Introduction In this week’s Arize Community Paper Reading we dive into the latest buzz in the AI world—the arrival of Claude 3. Claude 3 is the newest family… Sarah Welsh March 25, 2024 38 min read -
AI EngineeringReinforcement Learning in the Era of LLMs
Introduction This week, we explore Reinforcement Learning in the Era of LLMs: What is Essential? What is needed? An RL Perspective on RLHF, Prompting, and Beyond, with Claire… Sarah Welsh March 15, 2024 38 min read -
AI EngineeringSora: OpenAI’s Text-to-Video Generation Model
Introduction This week, we talk about the implications of Text-to-Video Generation and speculate as to the possibilities (and limitations) of this incredible technology with some hot takes. Dat… Sarah Welsh March 1, 2024 37 min read -
AI EngineeringDiving Into Enterprise Data Strategy With Samsung Research’s Prashanth Rajendran
On a recent earnings call, Microsoft CEO Satya Nadella observed: “Every AI app starts with data and having a comprehensive data and analytics platform is more important than… David Burch January 26, 2024 5 min read -
AI EngineeringThe Geometry of Truth: Emergent Linear Structure in LLM Representation of True/False Datasets
Introduction For this paper read, we’re joined by Samuel Marks, Postdoctoral Research Associate at Northeastern University, to discuss his paper, “The Geometry of Truth: Emergent Linear Structure in… Sarah Welsh November 14, 2023 32 min read -
AI EngineeringIngesting Data for Semantic Searches in a Production-Ready Way
The current ecosystem around LLMs, semantic search and vector storage makes it easy to prototype but difficult to move into production. Ingesting large volumes of data specifically for… David Garnitz November 8, 2023 10 min read -
AI EngineeringTowards Monosemanticity: Decomposing Language Models With Dictionary Learning
Introduction In this paper read, we discuss “Towards Monosemanticity: Decomposing Language Models With Dictionary Learning,” a paper from Anthropic that addresses the challenge of understanding the inner workings… Sarah Welsh November 2, 2023 26 min read -
AI EngineeringExplaining Grokking Through Circuit Efficiency
Introduction Join Arize Co-Founder & CEO Jason Lopatecki, and ML Solutions Engineer, Sally-Ann DeLucia, as they discuss “Explaining Grokking Through Circuit Efficiency.” This paper explores novel predictions about… Sarah Welsh October 6, 2023 27 min read -
AI EngineeringLarge Content And Behavior Models to Understand, Simulate, and Optimize Content and Behavior.
Introduction Amber Roberts and Sally-Ann DeLucia discuss “Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior.” This paper highlights that while LLMs have great… Sarah Welsh September 18, 2023 36 min read -
AI EngineeringHow To Thrive During Your First Tech Internship: What I Learned Interning at a Rapidly-Growing LLMOps Startup
SWE, AI, ML, FAANG, startups — with all the coveted tech jargon you’re bound to hear during recruiting season, it’s easy to get bombarded and discouraged. I know… Shreya Sridhar August 7, 2023 11 min read -
AI EngineeringExtending the Context Window of LLaMA Models Paper Reading
Introduction During this week’s paper reading event, we are thrilled to announce that we will be joined by Frank Liu, Director of Operations, and ML Architect at Zilliz,… Sarah Welsh August 7, 2023 32 min read -
AI EngineeringInterview: Mark Scarr, Senior Director of Data Science at Atlassian
Mark Scarr is the Senior Director of Data Science at Atlassian, where he heads up the Core Machine Learning Team. We talked to him about what the team… Gabe Barcelos July 7, 2023 18 min read -
AI EngineeringOne-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning
Introduction In this week’s paper reading, we discuss “One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning.” GLoRA is a universal, parameter-efficient fine-tuning approach for diverse tasks. It enhances LoRA with… Sarah Welsh July 3, 2023 32 min read -
AI Engineering
Voyager: An Open-Ended Embodied Agent with LLMs Paper Reading and Discussion
Introduction In this paper reading, we discuss Voyager: the first LLM-powered embodied lifelong learning agent in Minecraft. Voyager autonomously explores the world, acquires skills, and makes discoveries without… Sarah Welsh June 19, 2023 31 min read
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