Roberto Iriondo

TL;DR: This blog post highlights ten must-read machine learning books for anyone looking to build a strong foundation in ML. These books have been...

Explore the practical guide, Building LLMs for Production: Enhancing LLM Abilities and Reliability with Prompting, Fine-Tuning, and RAG, by Louie Peters and Louis-François Bouchard, published by Towards AI. Learn how to build production-ready

TL;DR: I've been an avid World of Warcraft player since its release in 2004, even during times when I had to take a break...

TL;DR: Model collapse is a phenomenon where AI models trained on recursively generated data gradually lose their ability to produce accurate and diverse outputs...

This blog post recommends some of the best books on Generative AI. The books cover a wide range, from foundational concepts to practical applications and even building your own LLMs. Whether you're a developer or just curious about this rapidly evolving field, there's a book to help you on your journey.

This blog post recommends the top books on Large Language Models (LLMs). The books cover a wide range, from foundational concepts to practical applications and even building your own LLMs. Whether you're a developer or just curious about this rapidly evolving field, there's a book to help you on your journey.

TL;DR: This blog post explores the process of generating futuristic yet realistic scenery images of Peru using AI tools. We discuss the inspirations behind each...

Top of the most common questions in generative AI answered TL;DR: Buckle up for an exciting ride through the world of Generative AI! In this comprehensive FAQ,...

TL;DR: Hallucinations in generative AI refer to instances where AI generates content that is not based on input data, leading to potentially harmful or misleading...

TL;DR: Writing effective prompts is crucial for getting the best output from machine learning models. To design a good prompt, you should guide the model...