Guide

Because the capabilities of huge language models (LLMs) proceed to expand, developing robust AI systems that leverage their potential has turn out to be increasingly complex. Conventional approaches often involve intricate prompting techniques, data...

A fast introduction to Before and After Tests with code.Gustavo Santos·FollowPublished inTowards Data Science·13 min read·2 hours ago--ShareI'll start this post by saying that A/B Testing was never a robust skill for me. “Okay,...

Why I ended freaking out that AI will replace me and what I do as a substitute14 min read·14 hours agoAll of us understand it. AI is coming for us.It’s not a matter of...

Large language models (LLMs) like GPT-4, LaMDA, PaLM, and others have taken the world by storm with their remarkable ability to know and generate human-like text on an unlimited range of topics. These models...

Learn critical knowledge for constructing AI apps, in plain englishRetrieval Augmented Generation, or RAG, is all the craze nowadays since it introduces some serious capabilities to large language models like OpenAI’s GPT-4 — and...

An end-to-end implementation of a Pytorch Transformer, through which we are going to cover key concepts reminiscent of self-attention, encoders, decoders, and way more.We will clearly see that the model attends from right to...

LDA Convergence Explained with a Dog Pedigree Model“What if my a priori understanding of dog breed group distribution is inaccurate? Is my LDA model doomed?”My wife asked.Welcome back to part 2 of the series,...

The best way to Create a Speech-to-Text-to-Speech ProgramIt’s been exactly a decade since I began attending GeekCon (yes, a geeks’ conference 🙂) — a weekend-long hackathon-makeathon by which all projects have to be useless...