MLOps That Works: Building ML Pipelines for Autonomous Factory Models
Explore MLOps strategies for autonomous factories. Learn design patterns and anti-patterns for deploying ML models in dynamic industrial environments using flexible pipelines.
DevOps for ML and Other Half-Truths - Processes and Tools for the ML Lifecycle
Explore processes and tools for enterprise-ready ML deployment, addressing the challenges of standardization in the ML lifecycle and supporting IT operations management.
Distributed Training: Techniques and Strategies - Part II - Lecture 18
Explore advanced distributed training techniques for machine learning, focusing on efficiency and scalability in large-scale AI systems.
Influential Data Retrieval Explained
Explore RapidIn, a scalable framework for estimating training data influence in large language models. Learn about token-wise retrieval and its two-stage approach.
Facing Uncertainty in AI - From Verification to Synthesis
Explore techniques for verifying and synthesizing AI systems under uncertainty, focusing on model-based approaches and automation to ensure safety and dependability in various AI applications.
Why an Event-Native Mindset Is Essential for Data Architecture
Embrace an Event-Native Mindset to build a responsive data architecture. Learn to model events, create an enterprise nervous system, and enable real-time action and prediction using event-driven knowledge architecture.
SuSLik: Deductive Synthesis of Safe Programs with Pointers - Tutorial 1b
Explore deductive program synthesis for creating provably correct pointer-manipulating programs using SuSLik. Practice specifying programs with formal logic and learn about separation logic.
Tutorial on Deductive Program Synthesis - Part 2: Hands-on Derivation and Advanced Techniques
Learn deductive program synthesis through hands-on examples, exploring SSL rules, recursion handling, and step-by-step derivation of provably correct pointer-manipulating programs.
Documentation-First Development with FastAPI
Explore Documentation-First Development using FastAPI. Learn to create and maintain synchronized API documentation, leveraging code-based OpenAPI generation and Pydantic for precise, up-to-date documentation.
Pytest Design Patterns
Explore battle-tested techniques to enhance test suite maintainability. Learn fixture factories, effective mocking, parametrized fixtures, and alternative test categorization for more reliable Python testing.
Edges of Python: Three Radical Python Hacks for Fun and Profit
Discover unconventional Python techniques to enhance efficiency and reduce bugs in complex software projects. Learn innovative solutions from EdgeDB's development experience.
How to Sell a Big Refactor or Rewrite to the Business
Explore strategies for managing technical debt and successfully pitching large-scale refactoring projects to stakeholders. Learn from real-world case studies and gain practical decision-making tools.
A Testable Architecture for Executable Specifications
Discover a battle-proven approach to creating testable architectures with executable examples, resulting in living documentation and efficient test automation.
How to Avoid Common Mistakes When Working with Java on AWS Lambda
Discover strategies to optimize Java on AWS Lambda, addressing cold starts, cost management, and performance issues for scalable serverless applications.
Simple, Modern Java Microservices in the Cloud - 2022
Explore modern Java microservices in the cloud, focusing on productivity and simplicity. Learn architectural approaches, technology choices, and design decisions for fast-paced startup development.
Gamedev Through the Eyes of a Backend Engineer
Explore gamedev's unique world: structures, tools, and quirks from a backend engineer's perspective. Gain insights into game engines, version control, Steam's role, and gameplay testing.
What the Hell is Service Mesh Anyway? - Understanding Its Role in Cloud Native Architecture
Explore service mesh's role in cloud-native stacks, its benefits for microservices and monoliths, and how it simplifies application design while addressing potential complexities.
Immutable Classes in Java Libraries - Are They Ready?
Explore immutable class design in Java, dispelling myths and demonstrating compatibility with popular libraries for persistence, serialization, and mocking.
Real Cloud-Native with Serverless Java
Explore serverless Java for cloud-native development, gaining insights on efficiency, scalability, and seamless infrastructure integration.
Rethinking Unit Testing: Automating the Generation of Java Tests
Explore automated Java unit test generation to improve productivity, catch bugs on-the-fly, and enhance code quality beyond manual testing limitations.
Frameworks Unplugged: Building Distributed Systems in Pure Java
Dive deep into building distributed systems using pure Java, exploring underlying principles and algorithms beyond framework abstractions. Gain insights into REST, HTTP methods, and cluster state management.