We uploaded 14 months of real client sales data — 127,000 transactions, 8 product categories, 12 regions — to ChatGPT and asked it to…Continue reading on Towards AI »
Most IoT tutorials stop at collection and dashboards. We’re going deeper into the world of local, offline, and sub-millisecond pattern retrieval.If you’ve ever built a sensor pipeline before, you know how it usually ends. Data flows in, you set some th…
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The field of Artificial Intelligence or AI is a branch of Computer Science that focuses on building intelligent systems and machines that are capable of performing tasks that typically require human intelligence. These tasks include learning from exper…
A practical, beginner‑friendly deep dive into the Azure Data Fundamentals covering the content you need t know for the exam end to end.Continue reading on Towards AI »
image by authorHow to Save Time and Money on Repeated LLM Calls with Ephemeral CachingThe ProblemA large prompt can rapidly incur costs due to the model charging per output and input tokens. During Prompt development, or prompt engineering, an iterativ…
I’ve never fixed a production agent by upgrading the model. Not once. Every fix came from changing what the model saw.Continue reading on Towards AI »
Accuracy could be lying to youContinue reading on Towards AI »
A production-first breakdown of the real RAG stack: ingestion, parsing, metadata, chunking, retrieval, reranking, citations, freshness…Continue reading on Towards AI »
The biggest bottleneck in deploying agents isn’t reasoning quality — it’s error accumulation. Here’s the architecture that fixes it.Photo by julien Tromeur on UnsplashYour multi-agent pipeline passed every demo you ran. In production, it silently accum…