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.
Let's Talk About Raw Documents - Extracting Structured Data for ML Pipelines
Explore raw document processing for ML pipelines with Unstructured.io's open-source tools. Learn to extract structured data, build custom preprocessing APIs, and integrate with popular ML frameworks.
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.
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.
Product Engineering for LLMs - Panel 2
Explore product engineering for LLMs with experts discussing UX patterns, evaluation, and AI application building. Gain insights on adopting LLMs in various industries and creating effective ML-powered products.
Impact of LLMs on the Tech Stack and Product Development - MLOps Podcast #188
Explore the impact of LLMs on tech stacks and product development with Bito's CTO. Gain insights on AI-powered coding tools, model evaluation, and best practices for leveraging AI in software development.
Why Data Scientists Should Learn Software Engineering Principles
Learn essential software engineering principles for data scientists to improve code quality, modularity, and readability. Enhance project scalability and model deployment capabilities.
MLOps MLflow: Time Series Forecasting with SkTime and Prophet
Explore time series forecasting using SkTime and Prophet libraries in MLflow, enhancing your MLOps skills with practical implementation.
Why Open Source Can Be the Perfect Place for New Developers
Discover how open-source projects like FreeBSD can boost your development career. Learn about community-driven development, essential skills, and ways to contribute effectively to open-source initiatives.
Half a Decade of Mob Programming - Lessons and Insights
Explore the benefits and challenges of long-term mob programming, including knowledge sharing, quality improvement, and team dynamics. Learn practical tips for successful implementation.
Developer Productivity is Waste - Avoiding Metrics Madness
Explore the pitfalls of excessive developer productivity metrics and learn alternative approaches to improve software development practices and outcomes.
Unlocking Success: Navigating the Code of Life with GitHub CoPilot
Discover how GitHub CoPilot enhances coding, combats imposter syndrome, and fosters connections in tech. Explore workplace anxiety, diversity, and responsible AI principles for a successful career journey.
Managing Academic Software Development for HPC - Best Practices and Workflows
Learn best practices for sustainable academic software development, including coding, project management, and documentation techniques.
Exascale Computing Project Applications: Lessons Learned
Explore key insights and lessons learned from Exascale Computing Project applications development with Erik Draeger, deputy director of Application Development.
Supply Chain Security with Go
Learn Go-specific supply chain security practices to protect your software from vulnerabilities and attacks.
LLVM in HPC: Enabling Performance Portability, Interoperability, and Novel Features - Part 2
Explore recent LLVM efforts for HPC: portable CUDA, debugging at scale, GPU execution of legacy codes, automatic differentiation, ML in compilers, and static information impact.
Perun: Keep Your Project's Performance Under Control
Explore Perun, an open-source tool for managing project performance. Learn to detect issues, analyze changes, and generate inputs to uncover potential vulnerabilities.
Future of AI and ML in Software Testing
Explore AI's impact on software testing, including challenges, self-healing scripts, and future contributions. Learn to improve processes and implement risk-based methods using AI insights.