Implement semantic caching to avoid redundant LLM calls and reduce API costs.
Tag: AI
Tips and Tricks – Implement Prompt Templates for Consistent LLM Output
Use structured prompt templates to get reliable, formatted responses from LLMs.
Tips and Tricks – Use Embeddings for Semantic Search
Implement semantic search using text embeddings for more relevant results than keyword matching.
The Complete Evolution of OpenAI’s GPT Models: From GPT-1 to GPT-5.2
A comprehensive journey through OpenAI’s GPT model evolution from 2018 to 2025. From the 117M parameter GPT-1 to today’s trillion-parameter GPT-5.2, explore the revolutionary advances in context windows, pricing, capabilities, and market adoption that have transformed AI.
Tips and Tricks – Use dbt for Maintainable Data Transformations
Build modular, tested, documented data transformations with dbt.
Tips and Tricks – Use CQRS for Complex Domain Logic
Separate read and write operations for better scalability and simpler code.
The AI Hardware Price Surge: Why GPUs, SSDs, and RAM Are Getting Expensive (And When It’ll End)
Hardware prices are surging due to unprecedented AI demand. Comprehensive analysis of why GPU, SSD, and RAM prices are up 30-70% in 2025, when normalization will occur, and strategic buying recommendations.
Tips and Tricks – Use ValueTask for Hot Async Paths
Replace Task with ValueTask in frequently-called async methods that often complete synchronously.
Large Language Models Deep Dive: Understanding the Engines Behind Modern AI
Go beyond the basics and understand how LLMs actually work. Master prompting techniques, compare models, and learn cost optimization strategies for production use.
Generative AI Fundamentals: A Practical Guide to the Technology Reshaping Software
Cut through the hype and understand what Generative AI actually is, how it works, and why it matters. A hands-on introduction for developers and architects ready to build with LLMs.