Quality Assurance in Machine Learning: Enhancing Trust and Reliability
Explore quality assurance in machine learning, its importance, and strategies for enhancing AI trustworthiness through lessons from other disciplines and best practices in MLOps and data science.
Low-latency Model Inference in Finance - A Close Look at Seldon V2
Explore low-latency model inference in finance using Seldon V2, focusing on high resilience and rapid service response for critical business applications.
Supercharging Recommender Systems - Unleashing the Power of Distributed Model Training
Explore distributed model training techniques to enhance recommender systems, boosting performance and scalability for production environments.
Wanted: A Silver Bullet MLOps Solution for Enterprise
Explore key learnings from a 4-year MLOps journey in pharmaceutical research, addressing challenges in tool selection, user diversity, and scalable solutions for operationalizing ML models.
Evaluation Engineering: Iterative Strategies to Testing Prompts
Explore iterative strategies for testing prompts, including backtesting and regression testing, to enhance evaluation engineering in prompt development.
Why AI Apps Don't Work in Production: AI Reliability Survey
Explore AI reliability challenges in production, survey techniques for improvement, and gain insights from 18 months of solving AI engineering reliability issues.
From Idea to Production: AI Infrastructure for Scaling LLM Applications
Explore strategies for scaling LLM applications from beta to production, addressing challenges and building adaptable AI infrastructure for evolving models and workflows.
Lessons Learned from Scaling Large Language Models in Production
Discover strategies for scaling LLMs in production, covering performance profiling, GPU optimization, and guardrail interactions with real-world examples.
Enhancing Cloud-native Security - Speed, Accuracy, and Context for Effective Threat Response
Develop a holistic strategy for cloud security with advanced monitoring, threat intelligence, and adaptive incident response to address evolving challenges.
Minutes, Not Months - Lightning Fast Cloud PKI Solutions
Explore modern PKI for proven security and identity at scale, covering IoT, in-country, on-prem, and hybrid landscapes. Learn cloud transformation fundamentals.
Deploying Generative AI Models - Best Practices and Interactive Example
Explore best practices for deploying generative AI models at scale, with an interactive example using UbiOps for serverless and cloud-agnostic implementation.
How to Design and Build Resilient Machine Learning Systems
Explore strategies for building resilient ML systems that gracefully handle real-world challenges. Learn to detect, mitigate, and overcome production-specific risks across various domains.
What Does it Mean to be an AI Engineer in the World of Generative AI
Explore the evolving role of AI Engineers in the era of Generative AI, covering technical aspects and business strategies for both engineers and decision-makers.
Kubernetes Scaling - Predictive Insights and Automation with Dynatrace
Leverage Dynatrace's Davis® AI to forecast resource needs and automate pod scaling in Kubernetes. Learn about quota setting, scaling types, and integrating predictive scaling into GitOps workflows.
Log Pattern Analysis with Dynatrace
Analyze log patterns efficiently using Dynatrace's dashboard. Detect common patterns, focus on relevant buckets, filter by namespace or log level, and apply keyword-based filters for comprehensive log management.
Unit Testing Framework for n8n - Prague Meetup Preview
Explore an early preview of a unit testing framework for n8n, showcasing its potential to enhance workflow development and testing capabilities.
Herb.jl: Teaching Programs How to Program with Program Synthesis
Explore Herb.jl, a Julia library for program synthesis, unifying various approaches and providing tools for developing new synthesizers and solving complex problems.
Critical Decisions - Live Services, Generative AI, and Game Infrastructure Architecture
Explore integrating generative AI in games, architect for scalability, and future-proof development with insights from Google Cloud's product manager.
Scaling Live Service Games on the Cloud with Google Kubernetes Engine
Build dedicated game server environments with Google Kubernetes Engine for fully managed, resilient, cost-effective, and flexible next-generation servers.
5 Common Hacktoberfest Mistakes and How to Maximize Your Contributions
Discover common Hacktoberfest pitfalls and learn strategies to maximize your open-source contributions, enhancing your skills and impact in the developer community.
PyCharm IDE Setup for Python Development - Part 4
Configure PyCharm IDE with Anaconda, set up GitHub repos, and optimize your Python development environment for efficient coding.