Evaluating Quality and Improving LLM Products at Scale
Explore techniques for measuring and enhancing LLM output quality at scale. Learn to confidently deploy product changes and consistently improve generative AI products through effective evaluation methods.
Beyond Guess-and-Check: Towards AI-assisted Prompt Engineering
Explore AI-assisted prompt engineering techniques to improve AI system development. Learn about intelligent "prompt editors" and synthetic data generation to enhance your workflow and move beyond traditional methods.
No GPU Before Product-Market Fit - Optimizing AI Startups
Explore Gen AI startup strategies without training models. Learn ecosystem optimization and future trends from Stanislas Polu, co-founder of dust.tt and OpenAI alumnus.
The Intersection of Graphs and Large Language Models - AI in Production
Explore the synergy between graphs and Large Language Models, focusing on Retrieval Augmented Generation Knowledge Graphs and their applications in AI-powered recruitment and ethical hiring practices.
Productionizing AI: How to Think From the End - Foundational Questions for LLM Product Development
Explore foundational questions for building AI products with LLMs. Learn to approach machine learning projects from the user experience perspective, focusing on end-product qualities and deployment considerations.
Building AI Products across Multiple Domains: Commonalities and Non-Commonalities
Explore key insights on building AI products across domains, including persuading partners, overcoming challenges, and avoiding pitfalls. Learn from a decade of experience in applied AI product development.
Data Labeling Best Practices for Fine-Tuning LLMs
Discover best practices for data labeling in LLM fine-tuning. Learn strategies for hiring, data preparation, and managing labelers to enhance AI model performance.
Unleashing the Power of Observability
Explore essential tools and concepts for implementing effective observability in software systems, avoiding common pitfalls and setting up efficient monitoring, alerts, and logging.
DataOps as a Service - Applying DevOps Practices to Data Engineering
Explore DevOps practices in data engineering, addressing challenges and showcasing the Versatile Data Kit for implementing DataOps principles.
The Distributed Era of Computing - Challenges and Solutions
Explore distributed systems' real-world applications, challenges, and solutions in modern computing, focusing on practical implementations and limitations.
Is Physical Dependency a Dealbreaker in IoT? Not Anymore! - Overcoming Challenges in IoT Automation
Explore virtual services in IoT testing, overcoming physical limitations for efficient automation and continuous delivery in cloud infrastructures.
Why Performance Testing Initiatives Fail - Common Pitfalls and Solutions
Explore common pitfalls in scale and performance testing initiatives and learn strategies to avoid them for more effective and valuable testing outcomes.
An Introduction to Forecasting Using Orbit
Explore Orbit, a probabilistic forecasting tool developed by Uber, and learn its application in demand forecasting for technical support teams through a practical case study.
Propensity Measurement Using Positive-Unlabelled Bagging
Explore semi-supervised binary classification with Positive-Unlabelled learning for propensity measurement using PU bagging techniques.
Computer Vision for Remote Inspections of Energy Assets
Explore how computer vision supports remote inspections in the energy industry, enhancing efficiency and reducing human error in maintaining vital energy infrastructure.
Optimize Costs and Scale Streaming Applications with Virtually Unlimited Storage from AWS Services
Scale streaming apps with AWS services for unlimited storage and cost optimization. Learn to leverage tiered storage for long-term data retention, enabling agile decision-making and proactive strategies in event-driven architectures.
Forecasting Kafka Lag Issues with Machine Learning
Learn to predict and manage Kafka Partition Lag using machine learning techniques. Explore normal and abnormal lag patterns, ensemble forecasting, and case studies for improved Kafka observability.
Skywalking's Golang Automated Probe Practice
Explore innovative automated tracing techniques for Golang, simplifying probe integration and overcoming context dependency limitations in distributed systems.
Securing Tomcat: Key Considerations and Best Practices
Learn key security considerations, features, and best practices for securing Tomcat, a widely-used Java-based web server and servlet container.
Developing Fast Applications With Open Source Software - Without the Fury
Explore performance and scalability challenges in building fast, scalable Big Data applications using open-source technologies like Apache Cassandra and Apache Kafka. Gain insights from real-world experiences.
The Age of AI and Intelligent Organizations: Lessons from Apache
Explore Apache's organizational patterns and their relevance to AI-driven entities. Gain insights into new models like Midjourney and LAION.