Deep Dives

The right way to Turn Your LLM Prototype right into a Production-Ready System

applications of LLMs are those that I wish to call the “.” There are many viral LinkedIn posts about them, and so they all sound like this: “I built that does in...

Why AI Alignment Starts With Higher Evaluation

at IBM TechXchange, I spent loads of time around teams who were already running LLM systems in production. One conversation that stayed with me got here from LangSmith, the parents who construct tooling...

JSON Parsing for Large Payloads: Balancing Speed, Memory, and Scalability

Introduction campaign you arrange for Black Friday was a large success, and customers start pouring into your website. Your Mixpanel setup which might often have around 1000 customer events an hour finally ends up...

The Machine Learning “Advent Calendar” Day 1: k-NN Regressor in Excel

to this “Advent Calendar” of Machine learning and deep learning in Excel. For Day 1, we start with the k-NN (k-Nearest Neighbors) regressor algorithm. And as you will notice, this is absolutely the best...

Neural Networks Are Blurry, Symbolic Systems Are Fragmented. Sparse Autoencoders Help Us Mix Them.

computers and Artificial Intelligence, we had established institutions designed to reason systematically about human behavior — the court. The legal system is one in all humanity’s oldest reasoning engines, where facts and evidence...

I Cleaned a Messy CSV File Using Pandas .  Here’s the Exact Process I Follow Every Time.

perfect. You’re going to come across plenty of data inconsistencies. Nulls, negative values, string inconsistencies, etc. If these aren’t handled early in your data evaluation workflow, querying and analysing your data could be...

Why CrewAI’s Manager-Employee Architecture Fails — and The best way to Fix It

is one of the vital promising applications of LLMs, and CrewAI has quickly turn out to be a well-liked framework for constructing agent teams. But certainly one of its most vital features—the hierarchical...

Ten Lessons of Constructing LLM Applications for Engineers

across industries. Traditional engineering domains are not any exception. Previously two years, I’ve been constructing LLM-powered tools with engineering domain experts. Those are process engineers, reliability engineers, cybersecurity analysts, etc., who spend most of...

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