Generative Artificial intelligence (Gen AI) for all

Discover how ChatGPT uses the OpenAI API to generate unique text from trained data, with examples of weather prompts, poems, and image analysis. Note the reference to the 4.40 version.

Explore the hierarchy of ai: artificial intelligence, machine learning, deep learning, and generative ai, with generative ai as a subset of deep learning within machine learning.

Explore the core ideas of machine learning—supervised, unsupervised, semi-supervised, and reinforcement learning—with examples like linear regression for house prices, email spam detection, disease diagnosis, and clustering for customer segmentation.

Explore how deep learning uses multi-layer neural networks to analyze data, extract features, and produce classifications, exemplified by image recognition of cats and the differences from traditional machine learning.

Explore generative AI fundamentals and uses, from text and image generation to code, music, and video creation, powered by transformers and GANs.

Explore large language models and transformers, including GPT, and foundation models. Learn how LLMs generate, process, and autocomplete text with high accuracy.

Learn how AI agents are software programs that interact with their environment, collect data, and perform self-determined tasks to meet predetermined goals, using language models and external functions.

Install Python and PyCharm to set up your development environment for Gen AI. Follow administrator installation steps, add Python and PyCharm to your path, and verify with the command prompt.

Explore a Python ai agent coding example that uses a generator, topic extraction, and a question-type detector to answer how or explain questions about photosynthesis.