Guide

MSE, Log Loss, Cross Entropy, RMSE, and the Foundational Principles of Popular Loss FunctionsWelcome back! Within the ‘Courage to Learn ML’ series, where we conquer machine learning fears one challenge at a time. Today,...

Find out how to add Llama Guard to your RAG pipelines to moderate LLM inputs and outputs and combat prompt injectionLLM security is an area that everyone knows deserves ample attention. Organizations wanting to...

Understanding Prompt EngineeringPrompt engineering is the art and science of crafting inputs (prompts) to get desired outputs from AI models like ChatGPT. It’s an important skill for maximizing the effectiveness of those models.ChatGPT, built...

Breakthroughs in technologies like Artificial Intelligence (AI) are changing how we take into consideration operations management. As organizations move from a reactive approach to a proactive one, they will use technologies just like the...

How successful Data Scientists land job offers despite today’s labor crisis13 min read·23 hours agoWhen job-hunting, it’s crucial to know what aspects are inside and beyond your control. This is essential to developing a...

Easy methods to improve the performance of your Retrieval-Augmented Generation (RAG) pipeline with these “hyperparameters” and tuning strategiesQuery transformationsFor the reason that search query to retrieve additional context in a RAG pipeline can also...

A Glossary with Use Cases for First-Timers in Data EngineeringData Engineering is a magical realm, with a plethora of books dedicated to it.Throughout the journey, data engineers will engage with unlimited integration tools, diverse...

First, we want so as to add two recent dbt packages, dbt-expectations and dbt-utils, that can allow us to make assertions on the schema of our sources and the accepted values.# packages.ymlpackages:- package: dbt-labs/dbt_utilsversion:...