Istio Ambient Service Mesh Made Easy
Explore Istio ambient mesh's simplified architecture, updates, and benefits. Learn about sidecar-less data plane mode, custom ztunnel, and streamlined configurations through live demos and architectural deep dives.
Red Hat OpenShift as a Sandbox
Explore an open-source mechanism for multi-tenant sandboxes on OpenShift clusters, enabling free community access and resource management within namespaces.
Exploring the Possibilities of GitHub Actions
Explore GitHub Actions' versatility beyond software workflows. Learn to automate tasks, increase productivity, and streamline processes for efficient and enjoyable development experiences.
Introduction to GitHub Copilot
Explore GitHub Copilot's AI-powered coding assistance features, including code generation and autocompletion across various programming languages. Learn how it can enhance your development workflow.
Break Glass, Repair Fast, Reconcile Automation
Learn strategies for managing production incidents, balancing automation with manual fixes, and reconciling changes across environments to ensure robust and secure infrastructure management.
An Interdisciplinary Expert Pool for Natural Language Understanding
Explore an innovative cross-disciplinary approach to address ethical challenges in AI language models, focusing on data representation, fairness, and responsible innovation.
Deep Learning for Self-Driving Cars
Explore deep learning's role in autonomous driving software, addressing challenges and research in reducing traffic fatalities through AI-driven solutions.
Multidimensional Approach to AI Development: Beyond Technical Feasibility
Explore multidimensional considerations in AI development beyond technical feasibility. Learn to integrate cultural, social, political, and legal aspects throughout the product lifecycle for more purposeful and impactful AI tools.
Retrieval Augmented Generation for Threat Intelligence
Explore how Recorded Future built a retrieval augmented generation system using LLMs as an interface to their threat intelligence graph, addressing challenges in real-time data leveraging, reliability, and speed.
Red Teaming Language Model Detectors with Language Models
Explore strategies to compromise LLM detectors using synonym replacement and instructional prompts, revealing vulnerabilities in text detection systems and emphasizing the need for robust safeguards.
Do Androids Know They're Only Dreaming of Electric Sheep?
Explore transformer language models' internal representations to detect and analyze hallucinatory behavior in AI-generated content, with insights on task-dependent patterns and evaluation methods.
The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing and Attribution in AI
Explore a comprehensive audit of 1800+ text datasets, examining legal and ethical risks in AI data practices. Gain insights into dataset lineage, licensing, and the divide between open and closed datasets.
Large Neural Nets for Amortized Probabilistic Inference in Highly Multimodal Distributions
Explore amortized probabilistic inference using large neural networks for complex distributions. Learn about GFlowNets and their potential to improve AI systems with Bayesian and causal understanding.
Making GenAI Safe, Trustworthy and Fit for Purpose with Auto Alignment
Enhance fairness, robustness, and safety of generative AI through alignment templating. Learn to measure model performance, improve with minimal human intervention, and adapt for specific use cases.
Unleashing the Full Potential of Your Recommender System in Production
Improve recommender systems through production monitoring, data insights, and drift detection to enhance performance and drive better business outcomes.
Saga: Continuous Construction and Serving of Large Scale Knowledge Graphs
Explore continuous construction and serving of large-scale knowledge graphs with Saga, an end-to-end platform. Learn about challenges in industrial settings and various graph services.
Tips and Tricks for Intentional Text-to-Image Generation
Explore creative ML evolution in arts, observing model biases and future impacts on creative fields and popular culture through an artist's reflective perspective.
Solving Product Substitutions in Grocery E-Commerce Through Self-Supervised Machine Learning
Explore innovative self-supervised ML techniques for solving product substitution challenges in grocery e-commerce, improving customer experience and business metrics.
Outracing Champion Gran Turismo Drivers With Deep Reinforcement Learning
Explore deep reinforcement learning techniques used to train AI agents that outperform world-class e-sports drivers in Gran Turismo racing simulations.
A Guide to Putting Together a Continuous ML Stack
Implement continuous ML training by automating pipelines, detecting performance issues, and triggering model updates with fresh data for improved MLOps maturity.
Navigating the Tradeoff Between Privacy and Fairness in Machine Learning
Explore the intersection of privacy and fairness in ML, addressing challenges and research-based solutions for regulated industries.