I took part in an international online workshop on AI titled ‘Adventures in Latent Space – Exploring LLMs and Real-Time Image Generation’ led by Marlon Barrios Solano.
I was particularly interested in learning more about Image Generation.
Workshop Overview:
Adventures in Latent Space is an interactive, no-code workshop designed to introduce participants to the creative potential of Large Language Models (LLMs) and real-time image generation using open-source models. This workshop aims to provide a hands-on exploration of AI’s latent space through engaging activities and conceptual discussions, perfect for artists, creative technologists, and anyone interested in the intersection of technology and the arts.
The workshop was free of charge.
Duration: 6 hours total, divided into two online sessions (3 hours each)
Session 1: Navigating Latent Spaces with LLMsTime:
Tuesday, 10th December 2024, 6-9pm
Duration:
3 hours
Core Concepts that we learned:
- Artificial Intelligence (AI): The simulation of human intelligence in machines.
- Machine Learning (ML): Algorithms that learn from data to make predictions or decisions.
- Deep Learning: Advanced ML using multi-layered neural networks.
- Neural Networks, Perceptron, and Latent Space: Key elements of AI architecture and abstract data representation.
- Natural Language Processing (NLP): AI’s ability to understand and generate human language.
- Large Language Models (LLMs): AI trained on massive datasets to generate human-like text (e.g., GPT).
- Generative Adversarial Network (GAN): AI models that create new data by pitting two networks against each other.
- Transformer & Attention Mechanism: The architecture enabling GPT and similar models to excel in tasks like translation and text generation.
I didn’t expect to learn or to hear about so many AI concepts. What was most useful for me was that I learned how to make my own GPT, which could be useful for my thesis and for finding articles, books and information.
