Microsoft Foundry Local brings the power of Azure AI Foundry directly to your local device, enabling you to run state-of-the-art AI models without cloud dependencies. Announced at Microsoft Build 2025 and continuously enhanced since, Foundry Local represents a paradigm shift in how developers can build AI-powered applications—with complete data privacy, zero API costs, and offline […]
Read more →Tips and Tricks – Cache LLM Responses for Cost Reduction
Implement semantic caching to avoid redundant LLM calls and reduce API costs.
Read more →The Evolution of Anthropic Claude: From 3.5 to 4.5 Opus – A Technical Deep Dive
Having worked with AI models for over two decades, I’ve witnessed countless technological shifts, but few have been as remarkable as Anthropic’s Claude evolution. From the initial Claude 1.0 release in March 2023 to the groundbreaking Claude 4.5 Opus in late 2025, Anthropic has consistently pushed the boundaries of what’s possible with large language models. […]
Read more →Tips and Tricks – Implement Prompt Templates for Consistent LLM Output
Use structured prompt templates to get reliable, formatted responses from LLMs.
Read more →Serverless Showdown: Cloud Run vs Cloud Functions vs App Engine – Choosing the Right GCP Compute Platform
Serverless Showdown: Cloud Run vs Cloud Functions vs App Engine Choosing the Right GCP Compute Platform for Your Workload I’ve deployed applications to all three GCP serverless platforms—Cloud Run, Cloud Functions, and App Engine. Each has strengths, but choosing wrong costs time and money. I’ve seen teams spend weeks migrating from App Engine to Cloud […]
Read more →Tips and Tricks – Use Embeddings for Semantic Search
Implement semantic search using text embeddings for more relevant results than keyword matching.
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