Events for you

This event examines the internal workings of large language model inference serving, focusing on the systems layer between API endpoints and GPU clusters. It is intended for machine learning practitioners interested in understanding bottlenecks, algorithms, and architecture involved in production LLM deployment. Attendees will gain insights into performance optimization for LLM inference in production environments.

This meetup explores applications and developments in generative AI such as vibe-coding, automation, and industry news. It is designed for founders, developers, creatives, researchers, and AI enthusiasts seeking to learn, network, and discuss AI ethics and future work. Attendees can join lightning talks, live demos, and community conversations on the future of AI.

This event features an evening of talks, demos, and networking focused on AI-powered workflows and software development using Cursor. The meetup welcomes designers, students, software engineers, and product managers interested in AI-enhanced development tools. Attendees can connect with others over drinks and pizza and learn about the use of AI in coding.

Sessions focus on live demos and collaborations around AI projects built by the Auckland AI Collective. Participants share ideas, experiment together, and contribute to open source work in a casual, informal setting. This event is for people who want to actively engage in building, collaborating, and getting feedback on AI projects.

This meetup gathers researchers and practitioners working on coding agents to share and discuss recent benchmarking work. Attendees will hear lightning talks from AI researchers and engineers from Meta, Columbia University, and Scale AI. The event provides an opportunity for networking and informal discussion in person at Scale AI's NYC office.

This event gathers developers and builders using AI to create better software faster. Attendees discuss code, workflows, and future developments in AI-powered software development. The meetup welcomes designers, engineers, students, and product managers interested in AI-enhanced development experiences.

This meetup focuses on explainable AI and causality, featuring a presentation by an expert in the field, followed by collective discussions to evolve an open source AI responsibility framework. It targets participants interested in advancing trustworthy and auditable AI through collaborative work. Attendees can learn about industrial AI use cases and updates to the Labelia open referential and label.

This session examines how bias originates and manifests in large language models. It is designed for technical professionals, researchers, product leaders, and policymakers aiming to understand and mitigate bias in generative AI. Attendees will learn about detection methods and strategies for deploying fair and ethical AI systems.