Debugging Distributed ML Systems
A developer faced an issue where their ML model misclassified groceries as entertainment expenses. By implementing distributed tracing using OpenTelemetry and Jaeger, they were able to quickly identify a...
Read moreA Developer’s Guide to Mastering Docker Networking Concepts
This article explains how to effectively manage Docker networking for multi-container applications. It highlights the limitations of the default bridge network and introduces user-defined bridge networks for better service...
Read moreCI/CD Guide on GitHub Actions – Automated Testing & Deployment
Automating deployment processes can save time and reduce human error. Continuous Integration and Continuous Delivery (CICD) practices, such as GitHub Actions, allow developers to automate manual tasks like compiling...
Read moreBuilding AI Agents using Python (without any frameworks)
This video explains how to build conversational AI agents using Python. The creator has built their own chatbot and will walk through the codebase, explaining how it works. The...
Read moreHow to Create an AI Assistant with Python (Tools, Guardrails)
- This video demonstrates how to build an AI agent using Python and the OpenAI agents SDK. - The agent will be used for interior design, generating images...
Read moreHow to build the TOP Automations – MY TIPS
Automating repetitive tasks can save time and reduce errors, as seen in this creator's experience with contract summarization. By following a repeatable framework, viewers can apply the same process...
Read moreAnalysis of the Data Processing Framework of Pandas and Snowpark Pandas API
This article explores the migration of Pandas workflows to Snowpark Pandas API, emphasizing a lift-and-shift approach for scalable data processing. Prasath Chetty Pandurangan, the author, details how developers can...
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