The 10,000 Steps of Open Source Project Health
Explore Meta's approach to measuring and nurturing open source project health, focusing on quality metrics and community building strategies for sustainable growth.
Going Beyond Code - Why All Contributions Matter in Open Source
Explore diverse contributions to open source beyond coding. Learn how non-technical skills and talents are essential for successful projects and communities. Discover ways to leverage your unique abilities in open source.
Why WebAssembly is the Next Wave of Cloud Computing
Explore WebAssembly's role in cloud computing, its advantages over VMs and containers, and its potential for building fast, scalable microservices and web apps.
From Sensor to Cloud: Getting Your Data Off of the Edge
Explore efficient methods for transferring time series data from edge devices to the cloud using open-source tools and InfluxDB platform, enabling seamless analysis and utilization.
A Framework for Onboarding Open Source Contributors
Discover a framework for onboarding open source contributors, showcasing real-world success in fostering productivity and impacting customers through collaborative remote work.
Bringing MongoDB Workloads Back to Open Source
Explore how to migrate MongoDB workloads to open-source alternatives, enhancing data control and reducing vendor lock-in.
Maximize Lunchtime and Minimize War Rooms - Empower Efficiency with Full-Stack Observability
Empower efficiency with full-stack observability. Learn how Cisco FSO Platform extends to the evolving digital landscape, providing control and visibility for reliable, secure business applications.
What Does the AI Revolution Mean for Open Source, Open Tech and Open Societies
Explore the impact of AI on open source, tech, and society. Examine challenges like access, innovation, discrimination, and environmental concerns. Discuss ethical AI solutions.
OpenFL - A Federated Learning Project to Power and Secure Your Projects
Discover OpenFL: Secure federated learning framework for collaborative model training without sharing sensitive data. Adopt, contribute, and enhance AI projects with privacy-preserving techniques.
Deep Learning for Program Repair
Explore Google's ML4SE research on training deep learning models to fix software build errors, enhancing developer productivity and reducing project delays.
How to Make a Data Science Portfolio With GitHub Pages
Create a free, no-code data science portfolio website using GitHub Pages. Learn step-by-step process, from repo creation to deployment, with tips for effective self-presentation.
Unify Project Demo - RAG Playground with LangChain
Explore a LangChain RAG Playground for document analysis, comparing LLM performance across providers for optimal speed, latency, and cost using dynamic routing.
Deep Dive: Exception Handling in the Ivy Framework - Tutorial 18
Explore exception handling implementation and behavior in the Ivy Framework, enhancing your understanding of error management.
Deep Dive: Ivy Framework Testing Implementation and Behavior - Tutorial 15
Explore Ivy Framework's testing implementation and behavior, gaining insights into its functionality and structure.
Deep Dive: Formatting in Ivy - Tutorial 10
Master Ivy formatting techniques to enhance code readability and efficiency in neural network development.
Frontend APIs: Adding Square Error Cost Function to Paddle Paddle - Tutorial 01
Explore Ivy's frontend API, implement square_error_cost function, and learn unit testing for Paddle Paddle frontend in this hands-on tutorial.
Why AI Needs New Data Benchmarks and Quality Metrics
Explore DataPerf, a benchmark suite for evaluating ML data quality and optimization algorithms. Learn about the need for data-centric AI benchmarks to advance research and improve real-world applications.
Democratizing Machine Learning: MLCommons' Role in Public Datasets and Benchmarks
Explore MLCommons' mission to transform machine learning through benchmarks, best practices, and data. Learn about public datasets' importance and the organization's tools for dataset creation.
How Comcast Powers AI Speech Recognition with Weak Supervision
Explore Comcast's innovative approach to AI speech recognition using weak supervision and efficient inference techniques, achieving improved accuracy and speed for voice-enabled smart TVs.
Retooling AI Training Sets for Improved Model Performance
Explore DataComp, a benchmark for innovating AI training datasets. Learn how improved data curation outperforms model tweaks, enhancing multimodal AI performance with less compute.
Mastering Generative AI - Tools and Techniques with VS Code, GitHub, and Azure
Explore tools and techniques for developing, testing, and deploying generative AI applications using Visual Studio Code, GitHub, and Azure. Learn to build innovative applications with GPT-4 and cutting-edge technologies.