Diving into the world of artificial intelligence (AI) can be daunting, especially for those without a technical background.
This post unpacks Google's comprehensive 4-hour AI Course for Beginners, distilling it into key insights and practical takeaways.
Many perceive AI as a singular technology, but it's actually an expansive field like physics, with Machine Learning as a subfield, akin to Thermodynamics.
Deep Learning is a subset of ML, which branches further into discriminative and generative models.
Large Language Models (LLMs) like ChatGPT and Google Bard are situated at this intersection, showcasing the practical applications of these technologies.
Machine Learning revolves around training models with data to make predictions on new, unseen information.
ML is split into two main types: supervised learning, which uses labeled data (like predicting tips based on restaurant bills and delivery status), and unsupervised learning, which operates on unlabeled data (like categorizing employees based on tenure and income without explicit labels).
Deep Learning, a specialized form of ML, is driven by artificial neural networks, reminiscent of the human brain's structure.
A key feature of Deep Learning is semi-supervised learning, where a model is trained on a mix of labeled and unlabeled data, exemplified by banks using it to detect fraudulent transactions.
Generative AI, in contrast to discriminative models that classify data, learns patterns in data to generate new, unique outputs.
This ability to generate novel content, whether text, images, or audio, sets generative AI apart.
LLMs, a subset of Deep Learning, are initially trained on vast data sets and later fine-tuned for specific purposes.
AI, Machine Learning, and Deep Learning are not just tech buzzwords but represent layers of a complex and fascinating field.
From the broad strokes of AI to the intricate workings of generative models and LLMs, understanding these concepts not only enhances our appreciation of technologies like ChatGPT and Google Bard but also empowers us to envision their future applications.
Google's course is pretty conceptual so make sure to check out my video on how to master prompting (in just 8 minutes)!