Monitoring Adobe Experience Manager Cloud Service with Dynatrace
Optimize content-led experiences with Dynatrace for Adobe Experience Manager Cloud Service. Gain insights, detect issues, and troubleshoot anomalies to accelerate time to value and meet business requirements.
What's New in Dynatrace - Release 1.284
Explore Dynatrace v1.284 updates, including new DQL functions, code-level vulnerabilities on Grail, and business process monitoring. Gain hands-on experience with practical demonstrations and access valuable resources.
A Practical Guide to SNMP Monitoring with Dynatrace
Learn to extend Dynatrace observability using SNMP monitoring. Explore SNMP basics, build custom extensions, and gain hands-on experience with a live demo. Master troubleshooting and discover valuable resources.
Robotics, Imaging, and Navigation in Medicine - Advances and Future Prospects
Explore cutting-edge robotics, imaging, and navigation in healthcare through expert talks on robotic surgery, AR/VR applications, and innovative medical technologies.
Harmonization of Deeply Sequenced Genomes - MPG Primer 2023
Explore genome harmonization techniques for deeply sequenced data, covering quality control, structural variants, and PCA analysis using cloud computing.
Building a CML Pipeline with Spark and Kafka - YOW! 2018
Explore building a CML pipeline using Apache Spark and Kafka. Learn functional programming techniques for efficient data processing and machine learning workflows.
Continuous Verification: Beyond Chaos Engineering
Explore continuous verification as a new discipline for sensitizing teams to system safety boundaries in complex socio-technical ecosystems. Learn to anticipate and prevent gradual system failures.
Exo: Run Your Own AI Cluster at Home
Créez un cluster IA domestique avec exo, unifiant la puissance de calcul de vos appareils pour exécuter des modèles sophistiqués sans matériel coûteux.
Model Mitosis - A Dynamic Approach to Software Modularization
Discover a dynamic approach to modularize software, avoiding monolithic spaghetti code and premature microservices. Learn when and how to split business models for optimal flexibility and scalability.
Supercharge Your Java Applications with Python
Enhance Java apps with Python using GraalPy. Explore embedding Python in Java, integrating AI libraries, and leveraging multi-language capabilities for data science and machine learning.
Harmonizing Code and Melody: Making Electronic Music with AI and Multi-Agent Systems
Explore MusicAgent: Innovative multi-agent system for composing, arranging, and producing music using Python, Sonic Pi, and LLMs. Learn live electronic music creation and AI-driven composition techniques.
Continuations: The Magic Behind Virtual Threads in Java
Explore the power of Continuations in Java, the mechanism behind virtual threads. Learn how to implement a simple VirtualThread class using the Continuation API for enhanced scalability.
Customizable RAG Workflows with Your Own Data
Build customizable RAG workflows using OSS tools and your own data to optimize GenAI applications for corporate environments. Learn best practices and advanced techniques.
Running Multiple Models on the Same GPU on Spot Instances
Optimize ML inference costs through GPU fractionalization and Spot instances. Increase GenAI application throughput while reducing expenses.
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.
Function Calling for LLMs: RAG without a Vector Database
Explore function calling for LLMs to access structured data, enhancing RAG capabilities without vector databases. Learn to enrich tables with metadata for improved query performance.
Finding Training Inefficiencies with CentML DeepView
Optimize deep learning model training with DeepView. Gain insights into performance bottlenecks, enhance resource utilization, and achieve significant throughput improvements through intuitive visualizations and targeted optimizations.
Better Chatbots with Advanced RAG Techniques
Explore advanced RAG techniques for building superior chatbots. Learn hybrid search, query generation, result filtering, re-ranking, and chunking to enhance information retrieval and user interactions.
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.
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.
Data Versioning in Generative AI - A Pathway to Cost-effective Machine Learning
Explore data versioning strategies for generative AI, focusing on cost-effective techniques to minimize processing time and API calls while enhancing collaboration and efficient versioning of annotations and embeddings.