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Krish Space
Krish Parekh, AI engineer at SMEC AI in Melbourne. Long-form posts on production AI engineering: RAG guardrails and evaluation, LLM API gateways, agents and voice AI, with the configs, numbers and trade-offs from building them. Home of the Depth First newsletter.
Latest articles
Evaluating your RAG pipeline
Error analysis, golden datasets, context recall, and faithfulness.
API gateways for LLM calls
Fallbacks, cooldowns, caching, and observability.
Guardrails for RAG
Nemotron Safety Guard 8B in front of a 70B.
Knapsack Maze with Partial Information
Introduction As part of my Algorithms and Analysis (COSC2123) course at RMIT, I was presented with a problem that was part pathfinding, part resource management, and part statistical guesswork. Task D
Build a Discord bot with Node.js
Introduction In today's blog we will learn how to build discord bot named WisdomWhisper using Node.js. This bot will provide random advice when prompted by user commands. We'll start by establishing t
Bias Variance Tradeoff
Introduction Having a proper understanding of Bias and Variance, is the key to achieve accuracy and robustness for your machine learning model. It helps us address the issue of Overfitting and Underfi
Gradient Descent
Introduction Picking up right where we left off in our previous blog, where we demystified the basics of linear regression and its underlying mathematics, we're now ready to take the next big step. In
The Art of Context Switching : Maximizing OS Efficiency
Introduction In this blog, we are going to delve into the topic of context switching in operating systems. We will explore the basics, seeking answers to the questions 'What?' 'Why?' and 'How?' to und
