Serrano.Academy Courses

Keys, Queries, and Values: Understanding Attention Mechanisms in Language Models

Dive into the mechanics of attention in Large Language Models through a unique astronomical analogy, exploring how word embeddings and similarity create the fabric of language understanding.

• YouTube
• 52 minutes
• Self-Paced
• Free Video

GRPO - Group Relative Policy Optimization: How DeepSeek Trains Reasoning Models

Discover how DeepSeek trains reasoning models using Group Relative Policy Optimization (GRPO), a reinforcement learning approach that enables self-improvement, with comparisons to ChatGPT and detailed explanations of the GRPO methodology.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

The Stone-Weierstrass Theorem - How to Approximate Functions

Explore the fascinating Stone-Weierstrass Theorem through engaging analogies, learning how continuous functions can be approximated using polynomials in compact spaces.

• YouTube
• 37 minutes
• Self-Paced
• Free Video

Discrete Dynamical Systems - Eigenvalues and Eigenvectors

Explore eigenvalues and eigenvectors in discrete dynamical systems, a key component of linear algebra for machine learning, with practical applications and computational examples.

• YouTube
• 26 minutes
• Self-Paced
• Free Video

The Kolmogorov-Arnold Theorem - Understanding Continuous Functions and Neural Networks

Discover how continuous functions can be expressed through simple formulas using the Kolmogorov-Arnold Theorem and its practical applications in neural networks.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

Universal Approximation Theorem - The Fundamental Building Block of Deep Learning

Discover how neural networks can approximate any continuous function through the Universal Approximation Theorem, explained with a simple Lego block analogy.

• YouTube
• 13 minutes
• Self-Paced
• Free Video

Kolmogorov-Arnold Networks - Understanding Their Architecture and Function

Discover the elegant architecture of Kolmogorov-Arnold networks, a powerful neural network design based on mathematical theorems, and understand their unique implementation and performance benefits.

• YouTube
• 14 minutes
• Self-Paced
• Free Video

Transformer Models: Understanding Their Architecture and Functionality - Part 3

Demystifying Transformer models with visuals and examples, covering key concepts like attention mechanism, tokenization, embeddings, and fine-tuning for various NLP tasks.

• YouTube
• 44 minutes
• Self-Paced
• Free Video

Detecting Periodicity with the Discrete Fourier Transform

Discover how to detect sequence periodicity and find periods using the Discrete Fourier Transform in this informative video on signal processing concepts.

• YouTube
• 18 minutes
• Self-Paced
• Free Video

Understanding AdaBoost - Ensemble Learning with Weighted Classifiers

Discover how AdaBoost combines multiple weak learners into a powerful ensemble model, with hands-on Python implementation and practical insights into weighted voting mechanisms.

• YouTube
• 18 minutes
• Self-Paced
• Free Video

Can Quantum Computers Break the Speed of Information?

Explore the limits of quantum computing speed, Shannon's entropy, and information gain in this friendly explanation of why quantum computers can't exceed the speed of information.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

Quantum Computing and Quantum Machine Learning

Discover quantum computing fundamentals and quantum machine learning through Fourier transforms, superposition, and practical applications in under 2 hours.

• YouTube
• 1 hour 59 minutes
• Self-Paced
• Free Video

Reinforcement Learning for Large Language Models - RLHF, PPO, DPO, and GRPO

Discover how to fine-tune LLMs using RLHF, PPO, DPO, and GRPO techniques with practical deep reinforcement learning methods for transformer models.

• YouTube
• 2 hours 28 minutes
• Self-Paced
• Free Video

Retrieval Augmented Generation (RAG), Search, and Vector Databases

Discover how to make LLMs speak factually using Retrieval Augmented Generation (RAG), search techniques, and vector databases in this comprehensive 19-minute guide.

• YouTube
• 19 minutes
• Self-Paced
• Free Video

Machine learning en espanol

Introducción práctica al aprendizaje automático en español, cubriendo técnicas supervisadas y no supervisadas con aplicaciones reales como reconocimiento de imágenes y sistemas de recomendación.

• YouTube
• 3 hours 30 minutes
• Self-Paced
• Free Video