Technology
Being a System Architect in the Age of AI: Tools Change, But the
How is the artificial intelligence revolution affecting system architecture? With 20 years of experience, I evaluate AI's promises and the unchanging.
#AI
21 posts found.
Technology
Embedding Lifecycle Management: Balancing Cost and Freshness
A practical guide on strategies to optimize the cost and freshness of embeddings in AI applications. Data changes, re-indexing, and…
Technology
Serving AI Models: Balancing Cost and Performance
Strategies for balancing cost and performance when serving AI models. Pragmatic approaches and real-world experiences.
Career
AI Agent Tool-Use Limits: The Cost of Architectural Choices
My experiences with architectural trade-offs and their operational costs when designing AI agent tool-use capabilities.
Career
RAG Quality in Side Projects: Is Perfection Always Necessary?
I examine the quality of Retrieval-Augmented Generation (RAG) systems in my side projects and whether it always needs to be at the highest level...
Career
AI Prompt Injection Defense Mechanisms and Cost Analysis
Exploring defense mechanisms against prompt injection attacks targeting large language models and the associated costs...
Tutorials
AI Prompt Injection Defense: Building Effective Strategies in 5 Steps
Develop actionable and effective strategies in 5 steps to protect Large Language Models (LLMs) from Prompt Injection attacks. Practical solutions based on my.
Life
RAG Retrieval Quality: Development and Cost Anatomy in Side Projects
I explore methods for improving retrieval quality in Retrieval-Augmented Generation (RAG) systems, with concrete examples and cost analyses.
Career
AI Agent Tool-Use: Boundaries in Cost and Performance Balance
I provide a pragmatic perspective by examining the cost and performance limits of AI agents' tool usage with real-world scenarios.
Technology
AI Agent Tool-Use Limits: More Tools, Better Results?
I examine the limits of AI agents' tool usage and the complexity introduced by adding more tools. Practical takeaways from my real-world experiences.
Life
Is Hosting Your Own LLM Really Advantageous for a Side Project?
I examine the real-world advantages and disadvantages of running your own LLM locally in terms of cost, performance, and flexibility.
Tutorials
Prompt Injection Defenses: Cost and Real-World Effectiveness Analysis
I examine the measures I've taken against prompt injection in AI applications, their costs, and their practical effectiveness based on my own experiences.
Technology
LLM Inference Caching: How to Balance Cost and Latency?
I explain the intricacies of LLM inference caching and what to consider when balancing cost and latency, with practical examples.
Technology
Agent Tool-Use: Why Are Real-World Risks Being Ignored?
A deep dive into the real-world risks of agent tool usage and why these risks are often overlooked, based on Mustafa Erbay's experiences...
Life
The Idempotency Nightmare in AI Pipelines: Data Loss and Recovery
I delve deep into the idempotency issues I encountered in an AI-powered pipeline, the resulting data loss, and my solution process. Real-world experiences and.
Life
The Mysterious Quirk of the AI Pipeline: Sunday Morning Debugging
I'm sharing how I step-by-step resolved an unexpected error I encountered in an AI pipeline on a Sunday morning, and the lessons I learned from the process.
Life
AI's Silent Mistakes: Hours Lost in My Side Project
I'm sharing my experiences with hidden mistakes in AI projects that unknowingly consume time and resources, based on my own side project.
Technology
Data Integrity in AI-Powered Content Pipelines: Practical Approaches
Ensuring data integrity in AI-powered content pipelines is critical. I'll share practical approaches, from ingestion to output, for issues I've encountered in.
Tutorials
Retries and Idempotency in AI Pipelines: A Guide to Error Handling
I explain how I design and implement retry and idempotency mechanisms to effectively manage errors encountered in AI pipelines.
Technology
AI Model Drift: The Silent Betrayal of Model Drift in Production
Discover what AI model drift is, its types, its silent effects in production, and how we can build proactive strategies to counter this critical threat.
Technology
Model Drift: The Silent Killer in Production
Find out how machine-learning models lose performance over time and why Model Drift is a silent killer for the AI systems you run in production...