C++ Abstraction Patterns for Cross Platform Development - Lecture
Explore C++ abstraction patterns for cross-platform development. Learn effective techniques, analyze case studies, and gain insights for writing maintainable, performant code across multiple platforms.
Tetris Clone Code Review
Dive into a code review of a Tetris clone, exploring implementation techniques and offering insights to enhance your game development skills.
The Evolution of Infrastructure from Code to Infrastructure Plus Code
Explore cloud development evolution, from Infrastructure as Code to integrated approaches. Discover how CDK and Wing bridge infrastructure and application development, addressing cloud adoption challenges.
Hashing it Out - Understanding Psychoactive Substance Use in Programming
Explore the intersection of psychoactive substance use and programming, focusing on cannabis. Examine prevalence, perceptions, motivations, and impacts on software development at individual and organizational levels.
Building and Scaling Real Enterprise Consortiums on Hyperledger Fabric
Explore enterprise consortium design, governance, and scaling on Hyperledger Fabric with Zeeve CEO Ravi Chamria. Learn topology challenges, implementation strategies, and stakeholder management.
Performant Node Infrastructure for Enterprise Blockchain Adoption
Explore how performant node infrastructure drives enterprise blockchain adoption, focusing on Hyperledger Besu's role and Validation Cloud's innovative approach in reshaping the landscape.
Managing Machine Learning Projects - From Design to Deployment
Explore ML project management strategies, from setup to production integration. Learn to navigate challenges, assess models, and align with business processes for successful implementation.
MLOps for Ad Platforms - Lessons from Ad Tech - Coffee Session 130
Explore MLOps in ad platforms with Andrew Yates. Learn about designing ML components, monitoring systems, and optimizing billion-dollar content marketplaces for long-term revenue and user experience.
How a Manager Became a Believer in DevOps for Machine Learning
Explore insights on leading data teams, improving as a software engineer, and migrating from monolith to microservices in healthcare. Learn from Keith Trnka's experience in NLP, machine learning, and telemedicine.
Age of Industrialized AI - Challenges and Solutions for LLMs in Production
Explore the challenges and solutions for integrating LLMs into software, addressing hallucinations, security risks, and future developments in AI infrastructure.
Clean Code for Data Scientists - MLOps Coffee Sessions
Explore clean coding practices for data scientists, Shopify's real-time serving platform Merlin, and insights on LLMs in production with Matt Sharp, Data Developer at Shopify.
The Long Tail of ML Deployment - Challenges and Solutions
Explore ML deployment challenges and solutions with Baseten co-founder Tuhin Srivastava. Gain insights on engineering perspectives, LLM limitations, and the future of ML-powered products in this informative podcast episode.
Building LLM Applications for Production
Explore key challenges in deploying LLMs to production, covering essential considerations for real-world application development and implementation.
Scalable Evaluation and Serving of Open Source LLMs
Explore challenges and solutions for serving open-source LLMs in production, focusing on scalable evaluation and deployment strategies.
Experiment Tracking in the Age of LLMs - MLOps Podcast
Explore experiment tracking in the age of LLMs with Neptune's CEO. Gain insights on managing ML experiments, prompt engineering, and achieving control and confidence in model development.
Translating Business Goals into Product Decisions
Explore data operations and automation in finance with Richa Sachdev. Learn to translate business goals into product decisions, optimize user experience, and leverage MLOps strategies for success.
The Truth About AI Agents - Current Limitations and Future Potential
Explore the potential and limitations of AI agents, focusing on reliability, performance, and safety. Learn about current challenges and future developments in this emerging field.
Challenges Operationalizing Machine Learning and Solutions
Explore challenges and solutions in operationalizing ML systems. Learn about team dynamics, communication issues, and MLOps from an SRE/DevOps perspective. Gain practical guidance for adopting best practices in this evolving field.
MLOps at the Crossroads - Challenges and Future Directions
Explore MLOps challenges, LLM applications, and industry trends with experts Patrick Barker and Farhood Etaati. Gain insights on tool adoption, OSS MLOps, and the future of AI implementation in various sectors.
The State of Production Machine Learning in 2024
Explore the challenges and best practices for deploying robust, scalable ML systems in production. Learn about key focus areas, recommended tools, and ecosystem insights for effective MLOps at scale.
Open Standards Make MLOps Easier and Silos Harder - MLOps Podcast Episode 234
Explore open standards in MLOps for easier data system integration, scalability, and collaboration. Learn about Ibis, Apache Arrow, and their impact on data engineering and machine learning workflows.