Perform

is a crucial task that's critical to attain, with the vast amount of content available today. An information retrieval task is, for instance, each time you Google something or ask ChatGPT for a...

has received serious attention with the rise of LLMs able to handling complex tasks. Initially, most discussions on this talk revolved around : Tuning a single prompt for optimized performance on a single...

and evaluations are critical to making sure robust, high-performing LLM applications. Nevertheless, such topics are sometimes ignored within the greater scheme of LLMs. Imagine this scenario: You could have an LLM query that replies...

is the technique of choosing an optimal subset of features from a given set of features; an optimal feature subset is the one which maximizes the performance of the model on the given...

A house robot trained to perform household tasks in a factory may...

Discover relevant subspaces: subsets of features that let you most effectively perform outlier detection on tabular dataThis text is a component of a series related to the challenges, and the techniques that could be...

A Step-by-Step Guide to Making Data-Driven Decisions with Practical Python ExamplesHave you ever ever wondered if a change to your website or marketing strategy truly makes a difference? 🤔 On this guide, I’ll show...

This text is all about using the optimization techniques that we've discussed in our part-1 on a dataset with different algorithms. Finally we compare the various metrics of those algorithms after cross validating with...