CervellAi (en)
by Carlos Andrés Morales Machuca
Latest episode
Foundation Models Unpacked: How Self-Supervised Learning Solved the…
Foundation Models Unpacked: How Self-Supervised Learning Solved the…
About this podcast
CervellAi is a podcast where artificial intelligence meets human insight. Produced by Carlos Andrés Morales Machuca, each episode explores key concepts like embeddings, neural networks, and ethical AI—making complex ideas accessible to curious minds. Whether you're a tech professional or just AI-curious, CervellAi connects the dots between innovation, impact, and understanding.
Episodes
- Foundation Models Unpacked: How Self-Supervised Learning Solved the AI Data Bottleneck · 14 min · Season 1 Episode 4Excerpts from the Stanford conferences and Yann LeCun's commentary offer an overview of the field of self-supervised learning (SSL), an emerging paradigm in artificial…
- 1 - 03 Generative Adversarial Networks: How GANs Work · 17 min · Season 1 Episode 3We offer an overview of Adversary Generative Networks (GAN), a type of machine learning algorithm that uses an adversarial learning framework with two submodules: a generator and…
- 1 - 02 How Retrieval Augmented Generation Fixed LLM Hallucinations · 17 min · Season 1 Episode 2The source material, an excerpt from a transcript of the IBM Technology video titled "What is Retrieval-Augmented Generation (RAG)?," explains a framework designed to enhance the…
- 1 - 03 Word Embeddings Explained · 17 min · Season 1 Episode 1An overview of word embeddings, explaining that they are numerical representations of words—often in the form of vectors—that capture their semantic and contextual relationships…
