About
Class 1: Introduction to Generative AI & Fundamental Models
Theory (1 hour):
Introduction to Generative AI
Overview of GANs, VAEs, and Transformers
Understanding foundational models (GPT, BERT, T5)
Use cases of Generative AI in images, text, and other domains
Practice (1 hour):
Google Colab hands-on: Use a pre-built notebook to generate text using a LLM and create simple images with GANs.
Class 2: Basic Prompt Engineering
Theory (1 hour):
Introduction to prompt engineering
Basic prompting strategies: zero-shot, one-shot, few-shot prompting
Key elements of a prompt (context, instruction, format, etc.)
Practice (1 hour):
Google Colab hands-on: Experiment with LLMs from Hugging Face. Generate responses using different prompt strategies and adjust parameters.
Consulting advice:
We offer personalized consulting for your generative AI projects. Whether you're starting out or looking to automate workflows with tools like LangChain or LangGraph, we’ll help identify the best strategies and solutions. This includes streamlining processes, optimizing AI automation, and ensuring scalability. You'll gain practical insights to apply AI effectively and ensure project success.